The Next Chapter In Microplastic Pollution

Andrea Ferris

Textile World recently caught up with CiCLO’s Andrea Ferris to talk about CiCLO technology, government mandates and sustainability goals, among other topics.

TW Special Report

Textile World last spoke with Andrea Ferris — co-founder and CEO of Intrinsic Advanced Materials, and co-inventor of CiCLO® technology — several years ago, about microplastics, CiCLO technology, and Intrinsic Advanced Materials, a joint venture company with Parkdale, Gastonia, N.C. (See “CiCLO®: Just One Arrow In The Microfiber Pollution Solution Quiver”, TW, September/October 2022).

Ferris and her CiCLO biodegradable chemistry co-inventor Alan McIntosh recognized the performance characteristics inherent in polymers such as polyester and nylon and understood that they have an important role in the textile industry and cannot just be replaced by an environmentally friendlier fiber. But they also recognized the issues with polyester and nylon products at the end of their lifetime and their contributions to textile and microplastic pollution. Rather than focusing on recycling and circular systems as a solution, the pair instead zeroed in on a way to make the synthetic fibers biodegradable.

CiCLO technology is blended with conventional or recycled polyester and nylon during melt extrusion as the fiber is manufactured becoming permanently embedded in the fiber.
This additive creates countless biodegradable spots throughout the matrix of the fabric that allow microbes to break-down fibers when they inevitably end up in the environment.

CiCLO technology only biodegrades the polymer under the right conditions — in the presence of moisture and microbes over an extended period of time — and therefore doesn’t impact the performance of the polyester or nylon products during their useful lifetime. But once the garment or other textile product treated with CiCLO biodegradable chemistry ends up in the environment, it will biodegrade similar to a natural or inherently biodegradable material.

TW recently had the opportunity to catch up with Ferris to talk about the latest CiCLO technology developments and the next era of sustainability.

CiCLO® technology was developed as one solution to combat microfiber pollution. (Image courtesy of CiCLO)

TW: We last chatted in 2022 about CiCLO technology and Intrinsic Advanced Materials. Are there any significant company updates you’d like to talk about?

Ferris: The brand has experienced remarkable growth since 2022!

Mid-2024 we hit a major milestone, producing more than 100 million pounds of biodegradable fiber using CiCLO technology. More than 50 brands and retailers now use CiCLO polyester, including Billabong, Oakley, Target, McDonald’s, Bloomingdale’s, Landau, and more, to mitigate the environmental impacts of synthetic microplastic pollution.

At the end of 2023, we were part of Champion’s Eco-Future collection launch, introducing an updated version of the brand’s hero Reverse Weave sweatsuits made with CiCLO fibers. Building on this momentum, in early 2024, we worked with Uwila Warrior to introduce the market’s first line of biodegradable undergarments.

Bass Pro Shops launched its first World Wide Sportsman Nylon Angler shirt with CiCLO nylon this week. We have more exciting adoptions launching in 2025 and 2026 from world-known brands. We’re so grateful that more brands and consumers are becoming aware that while synthetics offer tremendous performance benefits, they inevitably contribute to microplastic pollution, and are seeking solutions that are available now, like CiCLO technology.

TW: There is no doubt sustainability is one of the most important issues facing the textile industry today. The development of CiCLO technology focuses on biodegradability versus recycling. How do you make the case for biodegradable materials versus recycled?

Ferris: We don’t see it as biodegradable versus recyclable; biodegradability complements circularity. Synthetic fibers and fabrics made with CiCLO technology remain durable and recyclable, maintaining performance during wash, wear and care. At the same time, any synthetic fibers shed from fabrics made with CiCLO technology can biodegrade
at greatly accelerated rates if they end up as microplastic pollutants. We’re huge supporters of textile recycling and thrilled that extended producer responsibility (EPR) legislation will help fast-track an infrastructure to scale it. Many of our customers use recycled polyester made from bottles today and see that transitioning to polyester made from textile waste in the coming years. However, almost all synthetic fabrics shed, whether made from virgin or recycled materials, so circularity won’t solve the microplastic issue. CiCLO technology can be blended with virgin or recycled polyester from bottles
or textile waste.

TW: How do limited government sustainability expectations impact progress and the pace of development for plastic pollution solutions?

Ferris: With anticipated deregulation under the new U.S. administration, scaling sustainable solutions that are already available today is more critical than ever. While I’m an optimistic environmentalist myself, I’m also pragmatic. I hope any potential deregulation makes it easier for businesses to innovate and grow without impacting our environment.

Based on hundreds of meetings with brands and retailers over the last several years, I recognize that organizations are simply teams of people trying to do the right thing and improve responsible manufacturing. If the government doesn’t require specific standards, brands should embrace it as an opportunity to take even more initiative to lead their sector and assert themselves as the gold standard. People frequently ask why governments don’t yet mandate that synthetics be biodegradable since the technology exists. I think a more appropriate question to ask as industry innovators, manufacturers, and consumers is “Why should we wait for government to mandate that we do the right thing instead of just doing it?”

TW: The European Union is adopting a variety of durability mandates —with the Strategy for Circular and Sustainable Textiles and the Green Claims Directive just two among many pieces of legislation that address durability and extended producer responsibility that will impact the textile industry. How do you think these regulations will reshape design and production practices, and how should brands prepare for the changes?

Ferris: The upcoming EU textile durability standards are more than another regulatory requirement — they’ll reshape the entire approach to design and manufacturing. We’re likely going to see brands integrate durability testing into development processes, with a particular focus on fiber selection and construction techniques. Companies that view these regulations as an opportunity rather than a burden will gain a competitive edge, especially as consumers increasingly demand quality and transparency in their clothing purchases.

These design requirements will help curb fast fashion in the long run by reducing the excessive amount of products that flood the market today and raising consumer awareness about the environmental and social impacts of the mass disposal of textiles. Even so, due to the accessibility, affordability, and durability of synthetics like polyester and nylon, they will remain a preferred material for many brands. According to Textile Exchange [a non-profit organization driving beneficial impacts on climate and nature in the fashion and textile industry], the use of polyester alone may reach 90 million metric tons annually by 2030, which will drive the need for solutions that enable their use in a more responsible way.

TW: Polyester recycling remains a major focus of the textile industry as a method to tackle plastic pollution. Do you envision a shift from recycled polyester (rPET) and what does the future look like without the scaled infrastructure for an alternative?

Ferris: Many brands continue to use rPET as part of their sustainability goals, but some are also exploring alternative materials to complement its use. This shift is driven by factors like the rising cost of rPET, challenges in sourcing high-quality bottle flake for performance applications, and the desire to keep plastic bottles within the established recycling infrastructure for maximum circularity.

While rPET remains a key material in many sustainability strategies, it is not without challenges— most notably, the microfibers it sheds, which are a leading source of microplastic pollution in natural environments.

This is where innovations like CiCLO technology come in, offering an act-now solution to address the environmental impact of microplastic shedding. By incorporating CiCLO technology, brands can continue using rPET fabrics while helping to ensure that any fibers that shed and end up as microplastic pollution won’t persist in the environment indefinitely. As rPET is unlikely to disappear from the industry, CiCLO technology provides a crucial pathway for minimizing its impact and supporting a more sustainable future.

We know scalability is a significant hindrance to the adoption of sustainable solutions. When developing CiCLO technology, we focused on making the technology easy to integrate into supply chains and scalable for growing sustainability programs. We’re proud to lead in affordable, accessible, and scalable solutions for synthetics.

TW: How are brands weighing the balance between cost and environmental impact?

Ferris: Cost is a consideration for any product redesign or manufacturing process change. However, failing to make the updates required to manufacture more responsibly poses separate cost risks down the line — regulatory risks should new legislation require it, reputation damage as consumers are more aware and concerned about sustainability, loss of competitiveness, and supply chain vulnerabilities. Everyone pays in some way for the accumulating environmental impacts our society is causing.

Many brands are now taking a more long-term approach to their sustainability goals, which is a positive shift.They’re focusing on affordable, scalable, and logistically practical solutions, starting with steps that significantly impact their goals. When cost is a concern, brands can re-engineer designs or evaluate SKU volumes to align cost efficiency with reduced environmental impact, ensuring the two considerations work together rather than compete.

As a supplier of biodegradable technology, our mission is to provide brands and retailers with efficient supply chains where they need it. Unlike many new materials innovators who start small with capsule collections and hope to scale later, we’ve spent years building a global infrastructure to support the world’s largest brands. Our platform solution for biodegradable synthetics is designed to integrate seamlessly into existing processes and pricing structures. Rather than forcing brands to choose between cost and environmental impact, we aim to provide solutions that align the two, proving that sustainability and affordability can work hand in hand.

Reverse weave apparel in Champion’s Eco Future collection feature CiCLO® technology. (Image courtesy of Champion)

TW: Through your work with brands including Champion, Target, and Billabong, what trends or practices have emerged that seem to be effective in advancing sustainability goals?

Ferris: I cannot speak to any specific brand’s strategy, but I can share some things we see happening within organizations that effectively drive sincere change.

For one, it’s helpful when sustainability is a part of everyone’s jobs. Good ideas come from everywhere, and each person knows an area or thing well.Teams closest to product development, for example, are probably the ones who can determine the most feasible improvements to design specs.

At the same time, sourcing might have the best ideas for tier 3 supplier improvements, for example.The best and most solutions will materialize when everyone is encouraged to contribute.

When we work with large brands or retailers, we partner with one or many “champions” in the organization who help us navigate how to integrate CiCLO technology into their synthetics. They have varying responsibilities, but the common thread is that they are an environmentalist at heart and want to do good because it’s right.Today we met with one of those champions whose formal role is around assured supply for mostly non-textiles categories. We thanked her for helping us even though it’s “not her job” and she replied, “Well, I know how to make it happen and I care, so I guess, why shouldn’t it be my job?”

Another way we see goals being advanced is by setting achievable initiatives that don’t break the bank. Designing for durability and recyclability are top of mind for the industry moving forward and both can be tackled with strategic product design, often requiring zero dollars. Addressing synthetic textiles that shed microplastics also remains an important issue, and the industry is looking to solve it with solutions ranging from improved yarn and fabric construction to recommending improved wastewater and laundering filtration to prioritizing biodegradable fibers.

Brands can choose to use hangtags to educate consumers about the CiCLO® technology. (Image courtesy of CiCLO)

TW: How do you see consumer awareness and behavior influencing the adoption of sustainable practices? What role does consumer education play in driving demand for truly sustainable products?

Ferris: Consumer awareness plays a massive role in brands’ adoption of sustainable practices. As shoppers become more aware of the impact of their purchases, their shopping behaviors have evolved, with many consumers intentionally seeking out the most sustainable options for whatever is on their shopping list. Gen-Z has been at the forefront of consumer education and the changes in buyer priorities, largely thanks to brands educating consumers on social media.

In 2023, PDI’s Business of Sustainability Index reported that 91 percent of Gen-Z want to buy from sustainable companies.1 Recent financial stressors across markets have impacted short-term buying behavior, but even though buying behaviors might temporarily be in opposition to shoppers’ values, their perspectives aren’t changing. When financial circumstances change, values will undoubtedly be reflected by purchase decisions.

Embracing sustainability is critical for brands’ long-term success and, most importantly, for building consumer trust that transcends economic fluctuations or trends.

TW: What does the next era of sustainability look like, in your opinion?

Ferris: The next era of sustainability is going to go beyond what some have referred to as “carbon tunnel syndrome.” For the past few years, the conversation has been narrowly focused on reducing carbon emissions through modifications to manufacturing and logistics processes or material choices, for example. Efforts to reduce and control carbon emissions will remain a priority, but this next era is ushering in EPR and the infrastructure to support truly circular textiles. We will see a massive reduction in the amount of textile waste that goes to landfill, which will instead be sorted and funneled to appropriate recycling facilities. Resalable items will remain in circulation and the second-hand market will boom. EPR schemes will prioritize repair, reuse and resale above recycling into new fibers. The use of recycled and lower impact materials will also be incentivized, and while I don’t know exactly how, it could be done through reduced “ecomodulated fees” charged to manufac-turers in EPR plans.

Lastly, there will be much more transparency to consumers about where and how their products were made, what chemicals were used, and expectations for durability. Even just five years ago, it was hard to imagine that the global textiles industry could mobilize towards a circular economy. Now with EPR moving forward in the EU and California, the world’s fifth largest economy, we’re going to see these efforts ripple throughout the world.

TW: Are there any emerging technologies or innovations that you believe have the potential to significantly transform sustainability in the textile industry over the next decade?

Ferris: Well, I’d be remiss not to start with mentioning that CiCLO technology can significantly transform sustainability over the next decade. We believe that within the next five years a significant portion of polyester will transition to a combination of both virgin and recycled CiCLO polyester, which is durable, recyclable and also biodegradable. Within
10 years, at least half of the polyester produced around the world will be CiCLO polyester and a large percentage will be made from recycled textile waste. More research comes out weekly on the topic of synthetic microfiber pollution; it is the most prolific form of microplastic pollution found all over the globe … and it doesn’t need to be. CiCLO technology is a vetted, affordable and scaled solution that is available now.

Textile sorting technologies also have the potential to significantly transform the industry. Sorting has been a very manual process, but several companies are working on super-fast materials identification for proper sorting.This is not only important for mechanical and chemical recyclers who will make new fiber or things like insulation or rags, but for the second-hand market. Advanced technology could do things like scan items for quality, amount of wear, brand, for example, quickly set an appropriate price and list it for sale online.The resale marketplace for second-hand could explode and will be serious competition for brands making new products.

I don’t have a crystal ball, but I do know the future looks bright and exciting.


References
1 https://pditechnologies.com/blog/tracking-gen-z-consumer-trends-sustainability/


2025 Quarterly Issue I

Harnessing AI For Materials

Integrating AI into research and development can accelerate materials development, and create sustainable, high-performance materials for the future.

By Rishi Gurnani

In the rapidly evolving landscape of materials science, artificial intelligence (AI) stands out as a transformative force with the potential to revolutionize industries ranging from energy storage to nonwovens and fibers. Atlanta-based Matmerize Inc. — an early-stage company spun out of the Atlanta-based Georgia Institute of Technology — is on a mission to harness the power of AI to accelerate materials design and manufacturing.

The Transformative Power Of AI In Materials Science

AI is not merely a technological trend; it represents a paradigm shift in how materials science may be approached. By leveraging AI, vast datasets can be analyzed, material properties can be predicted with high precision, and complex processes that were previously reliant on laborious trial-and-error methods can be automated.

To fully grasp AI’s potential, it’s useful to draw parallels with other historical technological breakthroughs, shown in Figure 1, that have reshaped industries. The steam engine, introduced in 1712, revolutionized manufacturing and transportation by providing a reliable and portable power source. The light bulb extended productive hours beyond daylight, significantly enhancing productivity and quality of life. More recently, the internet has transformed communication and information dissemination, fostering unprecedented global connectivity and collaboration. Similarly, AI is poised to leave an indelible mark on the materials and nonwovens industries, driving advancements that were once thought unattainable.

Figure 1

Unique Advantages Of AI In Materials Science

AI offers several unique advantages that make it particularly suited for advancing materials science.

These advantages — the preservation of knowledge, high-dimensional learning and personalized search —are fundamental in overcoming traditional challenges in material design and manufacturing.

Preservation of Knowledge: One of the most significant benefits of AI is its ability to preserve and retain existing knowledge. Consider ChatGPT, an AI model trained on vast amounts of internet data, embodying a large portion of recorded human knowledge. When you ask ChatGPT a question, it draws upon the collective wisdom of experts embedded within its training data. Extending this concept to a corporate environment, AI can capture and retain the expertise of departing employees, ensuring that valuable institutional knowledge is not lost. Traditionally, when a valued coworker leaves, their expertise vanishes with them, forcing organizations to re-run experiments, train new hires from scratch, or accept the loss of critical insights. AI mitigates this by preserving knowledge within its models, providing continuity and reducing the costs associated with knowledge loss.

High-Dimensional Learning: AI excels in generating new knowledge, especially when dealing with high-dimensional problems that are beyond human cognitive capacities. High-dimensional learning refers to the ability of AI systems to process and analyze data with numerous variables and complex inter-dependencies. Historical examples like DeepBlue and AlphaGo illustrate AI’s prowess in mastering intricate domains such as chess and Go, where AI systems have surpassed human champions. In materials science, this capability translates to understanding and predicting the behavior of complex materials with numerous interacting components. AI can uncover patterns and relationships within high-dimensional datasets that humans might over-look, leading to the discovery of novel materials and optimized manufacturing processes that drive innovation forward.

Personalized Search: AI also revolutionizes the way we conduct searches by enabling personalized search capabilities. Unlike traditional search engines like Google, which provide generic results based on broad queries, AI can tailor search outputs to specific contexts and individual needs.

As an example, picture planning a surprise getaway for a loved one while juggling budget, interests and time constraints. Today’s AI tools can provide a personalize itinerary that captures a unique vision, transforming an overwhelming task into a heartwarming experience. Before, such detailed, bespoke planning often meant endless research across impersonal travel sites.

Similarly, in materials science, personalized search capabilities enable researchers to input highly specific requirements into AI models— reaction constraints, chemical inventories and supplier lists as just a few examples — receiving customized insights and recommendations that precisely match project goals and constraints.

Materials Informatics: Accelerating Material Discovery

The integration of AI into materials science has given rise to a specialized subfield known as materials informatics. This interdisciplinary approach combines machine learning, data analytics and materials science to develop structure-property models that predict material behaviors based on their chemical and physical structures. The genesis of materials informatics can be traced back to decades-old work in drug discovery, where AI models were employed to predict drug-related properties from molecular structures. This methodology has been success-fully adapted to polymers and other complex materials, enabling researchers to forecast properties like glass-transition temperature (Tg), mechanical strength and dielectric constants with remarkable accuracy.

Structure-Property Models: The Core Of AI-Driven Materials Design

At the heart of materials informatics are structure-property models. These models serve as predictive tools that estimate material properties based on structural characteristics. For polymers, this involves converting chemical structures into numerical vectors through so-called “fingerprinting” techniques. These numerical vectors are then fed into machine learning algorithms to forecast properties with-out the need for physical experiments. This capability significantly reduces both the time and financial investment traditionally required for material development. For instance, accurately predicting Tg can inform decisions about polymer selection and processing conditions, thereby streamlining the development cycle.

Advanced AI Techniques: Enhancing Model Accuracy And Efficiency

Developing reliable structure-property models necessitates sophisticated AI techniques, particularly when dealing with high-dimensional data and limited datasets — a common challenge in materials science. Three advanced approaches address these challenges:

  1. Active Learning: This iterative process begins with training an initial model on a small dataset. The model then identifies and designs new candidate materials, which are experimentally validated. The newly acquired data is added to the dataset, and the model is retrained, progressively refining its predictive capabilities. This method optimizes the learning process, ensuring that each experimental trial provides maximum informational value.
  2. Multi-Task Learning: Instead of developing separate models for each property, multi-task learning integrates datasets for multiple correlated properties and trains a single model. This approach lever-ages the inter-dependencies among different material proper-ties, enhancing overall model accuracy and enabling more comprehensive material design. For example, a single model could simultaneously predict both Tg and melting temperature, uncovering underlying correlations that improve predictive performance.
  3. Physics-Informed Learning: Traditional AI models often neglect established physical laws governing material behavior. Physics-informed learning integrates these laws into machine learning models, ensuring that predictions adhere to known physical principles. This hybrid approach marries the strengths of AI with the rigor of scientific theories, resulting in models that are not only accurate but also interpretable and reliable.

Matmerize: Empowering R&D Using AI

While AI offers unparalleled potential, its traditional implementation has been hindered by the need for specialized expertise. Matmerize aims to democratize AI in materials science by eliminating these barriers. Its software platform is designed to connect non-experts with advanced AI tools through an intuitive no-code interface, transforming raw experimental data into predictive models. This accessibility allows researchers to focus on innovation rather than the complexities of data management and model development.

The Matmerize software was developed with several key capabilities in mind:

  • Hierarchical Structure-Property Modeling — Matmerize employs state-of-the-art algorithms to build hierarchical structure-property models that capture relationships across different physical length scales using proprietary fingerprinting techniques. In polymer science, for instance, models incorporate atomic triples, block-level descriptors, and chain-level features to predict properties like Tg with high accuracy. This multi-scale approach not only enhances prediction precision but also facilitates the exploration of complex materials such as copolymers, blends and crosslinked systems. By understanding how molecular structures influence macroscopic properties, researchers can design materials with tailored functionalities.
  • User-Friendly Interface and Automation — The Matmerize platform is built with user experience at its core. The intuitive interface allows R&D teams to seamlessly navigate through data processing, model training, and prediction tasks. Automation features minimize the need for manual intervention, enabling researchers to generate predictive models in minutes rather than weeks. This efficiency accelerates the pace of innovation, allowing teams to iterate quickly and explore a broader array of material possibilities without being bogged down by technical complexities.
  • Active Learning and Model Refinement — Matmerize incorporates active learning cycles to continuously improve model accuracy. The software suggests new experiments based on model predictions, which are then validated and added to the dataset. This iterative process ensures that models evolve with the latest data, maintaining their relevance and precision over time, even as key employees leave the organization. By facilitating continuous improvement, Matmerize helps organizations stay at the forefront of materials innovation.
Figure 2

Real-World Applications: Case Studies In Nonwovens

The following case studies illustrate the practical impact of AI in materials science and highlight how AI can facilitate significant advancements.

Case Study 1: Using AI To Discover High-Performance Dielectrics For Energy Storage Materials

Energy storage is a pivotal area with applications spanning defense, aerospace, transportation, and consumer electronics. Electrostatic capacitors, prized for their high-power densities, are integral components in these applications. Traditionally, materials like biaxially oriented polypropylene (BOPP) have been used as dielectrics in capacitors due to their favorable properties, including high breakdown field, low energy loss and cost-effectiveness. However, BOPP’s relatively low dielectric constant limits the energy density of capacitors, esp-cially at elevated temperatures.

Using AI models, Matmerize screened thousands of polymer candidates to identify materials with superior dielectric properties at high temperatures. These models predicted the energy density of polymers based on their structural features, enabling the prioritization of candidates with the highest potential. This targeted approach led to the discovery of new polymers, such as PONB-2Me5Cl, which achieved record-breaking energy densities at 200°C, a critical metric for aerospace and electric vehicle applications.1 These advancements demonstrate AI’s ability to help surpass conventional technologies.

Case Study 2: Designing Next-Generation 6G Materials With Resonac

As the telecommunications industry advances toward 6G technology, the demand for materials with specific electromagnetic properties has intensified. Tokyo-based Resonac, formerly Showa Denko, partnered with Matmerize2 to design materials optimized for 6G applications, where traditional design methods were proving inadequate in meeting stringent performance criteria.

Matmerize specializes in developing structure-property models that predict material behaviors with exceptional accuracy. Resonac evaluated Matmerize’s models against three third-party alternatives and found that its solutions provided superior predictive capabilities tailored to their specific needs. The enhanced accuracy of Matmerize’s AI-driven models enabled Resonac to streamline their material design process, reducing both the time and resources typically required for such specialized applications.

Impressed by the performance of the models, Resonac formed a strategic partnership with Matmerize to collaboratively design and develop new materials specifically for next-generation 6G technologies.

Case Study 3:Developing Biodegradable Polymers For Kimberly Clark

Sustainability is a paramount concern in the materials and nonwovens industries. Kimberly Clark, Irving, Texas, aimed to develop biodegradable polymers to replace conventional plastics, thereby reducing environmental impact without com-promising performance.

Matmerize’s software enabled Kimberly Clark to screen more than 20,000 biopolymer candidates, identifying more than a dozen promising chemistries with desirable mechanical properties. The AI models evaluated both the chemical structures and processing conditions, optimizing for performance metrics such as tensile strength and flexibility. The identified polymers currently are undergoing rigorous evaluation to ensure they meet Kimberly Clark’s sustainability and performance standards. This project highlights AI’s potential to drive sustainable innovation, enabling companies to develop eco-friendly materials that align with environmental goals.

Case Study 4: Streamlining Mechanical Recycling With Predictive Modeling

Mechanical recycling of plastics involves reprocessing materials into new products, a process that demands precise control over film composition and processing parameters to ensure both quality and consistency. Companies striving to align their recycled products with stringent government regulations must rigorously test their materials against the guidelines set forth by the Association of Plastic Recyclers (APR). Achieving certification from the APR is a formidable challenge, as it requires extensive and costly trials to validate that recycled films meet the high property standards necessary for certification.

Matmerize developed a predictive model for a client aiming to produce multilayer films certified by the APR. Its AI model could predict pass/fail outcomes based on film composition and processing parameters, significantly reducing the number of required experimental trials. By accurately forecasting which formulations would meet certification standards, the client could bypass tens or hundreds of expensive lab trials, saving both time and resources. Initial results have been promising, with the client benchmarking the Matmerize model against internal expert predictions and observing outstanding performance.

Building An AI-Ready R&D Organization

Integrating AI into research and development (R&D) is not merely a technological matter; it requires alignment at the cultural and organizational level (See Figure 3). Successful AI implementation hinges on robust data management, dedicated roles and strategic investments in key areas. In interactions with numerous companies, several critical elements emerge as essential for building an AI-ready R&D organization.

Figure 3

Data Management: The Foundation Of AI

Data is the cornerstone of all AI models. Effective data management involves collecting, organizing, and maintaining high-quality datasets that accurately represent the materials and processes under study. Common challenges include disparate data sources, inconsistent formats, and incomplete records. To address these issues, organizations should:

  • Centralize Data Storage: Implement centralized databases or data lakes that consolidate information from various sources, ensuring easy access and consistency; and
  • Establish Data Governance Policies: Define clear protocols for data collection, storage, and sharing to maintain data quality and compliance with industry standards.

Key Roles For AI Success

Building a competent AI-driven R&D team involves delineating specific roles that align with the organization’s AI objectives. Three primary roles are crucial:

  1. AI Champions: These individuals are responsible for managing and structuring data, ensuring that it is ready for model training and analysis. They bridge the gap between raw data and actionable insights, making them indispensable for AI initiatives.AI
  2. Consumers: These team members utilize the predictive models to inform decision-making processes. They leverage AI-generated insights to plan simulations, design experiments, and drive innovation.
  3. AI Actors: These are the hands-on researchers and technicians who execute planned experiments. They generate new data, feeding into the AI models and enabling continuous improvement.

Invest In Essential Tools And Training

To fully harness AI’s potential, organizations must equip their AI Champions, Consumers, and Actors with key tools and training programs:

  • Electronic Lab Notebooks: The tools automatically convert raw data into structured data, easing the burden on AI champions.
  • Modeling Software: Tools like Matmerize’s platform automatically convert structured data into easy-to-use models, easing the burden on AI champions and AI consumers.
  • Training and Education: Provide comprehensive training programs to equip team members with the necessary skills and knowledge to effectively use AI tools and interpret their outputs. This ensures that all stakeholders can contribute to and benefit from AI initiatives.

Shaping The Future Of Materials Using AI

By enabling faster, more accurate material discovery and optimization, AI is driving innovation, reducing costs and fostering sustainability.

As the industry continues to evolve, embracing AI will be essential for organizations seeking to maintain a competitive edge and address emerging challenges. The integration of AI into R&D processes not only accelerates material development but also opens new avenues for sustainable and high-performance materials that meet the demands of the future.


References:
1 https://www.nature.com/articles/s41578-024-00708-8

2 https://www.resonac.com/news/2023/09/22/2672.html



Editor’s Note: Matmerize Director of Soft-ware Rishi Gurnani leads the development of AI-driven solutions for materials design and manufacturing. With a Ph.D. in Mate-rials Science and deep expertise in artifi-cial intelligence, he has collaborated with clients across various industries, including energy storage and nonwovens, to solve complex materials challenges using cut-ting-edge AI technologies. To learn more about the company, visit matmerize.com.


2025 Quarterly Issue I

Pioneering Performance: The North Face Innovates For Adventure And Environment

The North Face’s DOTKNIT™ Thermal Full-Zip Hoodie

The North Face recently introduced two new fabric technologies — DOTKNIT™ and FUTUREFLEECE™ — designed to work and perform together, and as part of the Advanced Mountain Kit™ clothing layering system.

By Rachael S. Davis, Executive Editor

Never Stop Exploring™,” is a phrase well-known to out-door enthusiasts. The North Face, founded in the 1960s by avid climber Doug Tompkins, adopted this mantra in relation to its customers and their love for exploring outside. Beginning with backpacks, The North Face has innovated outdoor clothing and equipment for its customers to support their love of the great outdoors where environments can be hot and sunny, cold, wet or snowy, or variable.

The North Face mantra is also applicable to the company’s own drive to explore and innovate when it comes to its products. Over the decades, The North Face has expanded its product line to include clothing, shoes, bags, tents and other gear for hiking, camping, running, climbing and skiing. It was one of the first companies to create a backpack with a lightweight internal frame. The North Face also was an early adopter of Gore-Tex™ technologies in the 1970s. Today, the company has a full suite of waterproof, breath-able product offerings that includes FUTURELIGHT™ and DryVent™ technologies; as well as Ventrix™, an insulation technology that keeps your body warm without overheating, among other The North Face branded innovations.

The North Face’s Summit Series FUTUREFLEECE™ Full-Zip Hoodie

Responsible Product Choices

The company also maintains a focus on responsible products and circular design principles. By 2025, The North Face aims to have “100 percent of our leading apparel fabrics originate from recycled, responsibly sourced renewable or regeneratively grown sources.” It focuses on using recycled, biobased and regeneratively grown materials, as well as responsibly sourced down. The North Face also eliminated per- and polyfluoroalkyl substances (PFAS) chemicals from the manufacturing of its consumer products in 2024.

“In 2024, more than 90 percent of our polyester was recycled,” said Carol Shu, senior manager, Global Sustainability. “Additionally, we’re utilizing circular design principles across key product lines so that once those products reach the end of their usable life span, they can be properly disposed of and recycled or utilized to make future products. We’ll continue to make great strides in 2025 to inch closer to our end goal.”

Technology Development

The brand’s suppliers are instrumental in helping The North Face bring technologies to market, but innovations are tailored for The North Face consumers internally. According to Forrest Cannon, Materials manager, Innovation Development, the company focuses on a three-step process for technology development:

  • Research and validation;
  • True technology development; and
  • Deployment of technology.

“This approach allows our team to thoroughly understand the key characteristics of a technology influencing performance, to develop it into essential styles and applications that best serve our consumers, and to strategically incorporate the technology into our product line in a meaningful way,” Cannon said.

“Our process always begins with a problem to solve,” said Kyle Parker, product director, Apparel Innovation. “The team constantly meets with athletes, consumers and internal teams who provide inspiration in many ways — a new project in the mountains, a ‘perfect layer’ solution that may not exist, or even a simple idea about the way they’d like a material or garment to feel or per-form. All of these serve as inputs that we brainstorm and consider in our design process, looking beyond existing solutions from our supply chain for inspiration for our starting point.”

DOTKNIT™ fabric’s textured, double-knit structure and engineered holes allow for increased air flow and sweat evaporation.

New Introductions

DOTKNIT™ and FUTUREFLEECE™ are two new fabric innovations recently introduced to the market by The North Face.

“DotKnit technology was born as a solution for managing moisture in the mountains,” Parker said. “In high alpine environments, moisture trapped next to the skin can cause hypothermia. As a result, athletes will moderate their exertion to manage their sweat rate as a function of safety.”

DotKnit material is a lightweight, double-knit fabric featuring a textured dot pattern. The fabric was designed to pull moisture from the skin and transport it to the outside of the fabric away from the body to reduce the risk of hypothermia. The trick is in the yarn choices. Two polyester yarns are used — the inner yarn is modified to be hydrophobic, and the outer yarn is hydrophilic. The yarns plus the engineered “holes” in the knit construction create a conduit to move moisture from the skin and through the fabric. The knit construction also contributes to increased air-flow to help with sweat evaporation.

DotKnit garments — mostly tees and tops —are designed as a first layer to be worn directly next to the skin under a midlayer or an insulating layer.

DotKnit fabric’s construction focuses on moving the moisture directionally away from the body according to Cannon. “In a DotKnit fabric, the majority of evaporative cooling will occur away from the skin, which allows our athletes and consumers to stay drier and warmer in high aerobic, cold weather activities,” Cannon said.

Internal testing laboratories at The North Face test for one-way moisture transport, evaporative resistance and air permeability to ensure the fabric meets the needed moisture and thermal benefits required for the application.

“A key point of difference between DotKnit technology and other ‘standard’ baselayers is that it actively moves moisture from the body,” Cannon noted. “Standard wicking tests only quantify how far the moisture has spread across a fabric, but not directionally from one side to another, which we test for with DotKnit fabric. Additionally, we have our world-class athletes testing our materials through a variety of climates and activities. They do a great job making sure we can stand behind our motto of ‘Athlete-Tested, Expedition-Proven!’”

DotKnit fabrics, used broadly across the product line, form part of The North Face’s Advanced Mountain Kit™, its alpine climbing system comprised of five technologies designed for layering. The North Face plans new silhouettes and material variations for several sea-sons to come, according to Parker.

FUTUREFLEECE™ features a grid pattern alternating between areas of looped yarns and flat knit areas. The high/low areas trap heat, increasing warmth and helping to regulate body temperature.

FUTUREFLEECE™

FutureFleece fabric is another new technology that is part of the Advanced Mountain Kit. “Designed to be worn as a first layer over a baselayer, like DotKnit garments, or as a next-to-skin solution in cold conditions, FutureFleece fabric efficiently regulates the microclimate of the wearer,” Parker said about this fabric innovation.

The knit fabric features a grid pattern alternating between areas of looped yarns and flat knit areas. The pattern with high/low areas traps heat within the non-looped areas, increasing warmth and helping to regulate body temperature all in a fabric with an optimized warmth-to-weight ratio. The full-loop construction also results in a soft next-to-skin feel.

“FutureFleece fabric is a very unique knit construction that does not require brushing like traditional fleece products,” Cannon said. “Our engineers and designers are always thinking about how to improve the performance of our technologies. In FutureFleece fabric, the incremental pile against the skin allows us to reduce weight and increase air permeability on a highly insulative fabric.”

FutureFleece technology also utilizes an octagonal-shaped “octa-yarn,” which is instrumental in the fabric’s performance, according to Cannon. “This highly engineered fiber features both a hollow core and an eight-fin surface structure,” Cannon explained. “The hollow core component helps boost the warmth within the fiber, while the eight-fin structure creates additional insulative air pockets within the yarn and further boosts the warmth without an increase in weight.”

To test the thermal resistance of the fabric, The North Face team used its internal lab’s Sweating Guarded hot plate. “FutureFleece fabric has shown to have the highest warmth-to-weight ratio out of the fabrics we’ve tested,” Cannon shared.

This warmth-to-weight property of FutureFleece fabric makes it the athlete’s most used layer across the entire range of activities and geographies, according to Parker. The fabric currently is featured in several silhouettes and material weights across The North Face’s Summit Series, from quarter zip crew neck styles to full-zip hoodies. “This offering covers the needs across a wide variety of activity use cases,” Parker said. “We will continue to expand FutureFleece fabrics into Hike and Trail run in the seasons to come.”

Complete Clothing System

DotKnit and FutureFleece technologies pair well together and have a purpose within The North Face’s Advanced Mountain Kit layering system. “When DotKnit fabric is combined with FutureFleece fabric and Futurelight — our most advanced, breathable waterproof solution —sweat is able to move and evaporate efficiently through the entire clothing system,” Parker shared.

Circular design principles were utilized during DOTKNIT™ fabric’s development in order to minimize environmental
impact.

Sustainability At The Forefront

As The North Face was developing the DotKnit and FutureFleece fabrics, the company’s sustainability goals and responsible materials choices were fully considered. “DotKnit fabric is made with recycled polyester and the garments meets our EXPLORATION WITHOUT COMPROMISE™ criteria,” Senior Global Sustainability Manager Shu reported. “FutureFleece fabric currently has 37-percent recycled content and hasn’t reached the Exploration Without Compromise criteria; however, in a future season, this fabric will be converted to 100-percent recycled con-tent and the garments will meet Exploration Without Compromise.”

As The North Face looks to the future, its commitment to innovation, sustainability, and performance remains unwavering. By continually pushing the boundaries of material technology and embracing circular design principles, the company not only supports outdoor enthusiasts in their adventures but also protects the environments they cherish. With a legacy rooted in exploration and a vision focused on responsible growth, The North Face is poised to lead the way in creating products that inspire, perform, and preserve for generations to come.

2025 Quarterly Issue I

DeSL Partners With Browzwear, Works With Patagonia

Wales-based DeSL has announced a partnership with Browzwear to integrate advanced digital product development technology directly within DeSL’s Product Lifecycle Management (PLM) software. This collaboration allows users to visualize design variations in color and materials, reducing the need for physical prototypes and accelerating product line creation through DeSL’s Digital Planning Boards. Key benefits include real-time 3D model annotation, enhancing collaboration between vendors and internal teams, speeding up approvals, and reducing miscommunication. This streamlined digital workflow supports faster, more sustainable product development.

“We are excited to be partnering with DeSL to integrate our digital product development technology with their comprehensive PLM solution,” said Greg Hanson, CEO of Browzwear.
“This collaboration is an important step forward in achieving our core mission of helping brands innovate faster, and meet their sustainability and business goals.”

DeSL also reports that Patagonia, Ventura, Calif., has adopted its Discover e-Solutions Color Lifecycle Management (CLM) software for automated, simplified color management.

“With DeSL’s CLM solution, we’ve seen significant improvements in our color management workflow,” said Matt Swartz, senior Color & Surface Design manager, Patagonia.

2025 Quarterly Issue I

Tonello Showcases Denim Renaissance Collection

Italy-based Tonello S.r.l. recently unveiled Denim Renaissance, a collection celebrating the elegance of Italian craftsmanship, innovation, and aesthetics, at Kingpins New York. More than just a collection, Denim Renaissance pays tribute to Italy’s art, architecture, and cultural legacy, transforming denim into a sophisticated canvas.

The collection features jeans, skirts, dresses, gilets, and jackets, blending modern style with timeless luxury. At its core, Denim Renaissance emphasizes sustainability, crafted using Tonello’s advanced technologies to reduce environmental impact, redefining luxury as both exquisite and mindful.

2025 Quarterly Issue I

Penelope CAD Joins TSG/Datatex

Spain-based textile design soft-ware company Penelope CAD has joined Italy-based Textile Solutions Group (TSG), parent company of Datatex. The acquisition aims to create an integrated ecosystem that bridges creative design and technical production, combining Penelope CAD’s advanced design and simulation tools with TSG’s expertise in production planning, management and optimization.

The collaboration will offer businesses a seamless workflow from design to production, boosting efficiency and innovation. Datatex will play an active role in integrating Penelope CAD’s software with its proven enterprise resource planning and supply chain solutions, providing clients with comprehensive tools to optimize their textile operations.

2025 Quarterly Issue I

Teijin Frontier Introduces Comfort Material

Japan-based Teijin Frontier Co. Ltd. has developed a next-generation comfort material for active and functional apparel, combining contact cooling functionality with sweat stickiness prevention. The dual-layer, knit structure alternates hydrophobic and hydrophilic WAVERON™ yarns, where the hydrophilic yarn absorbs perspiration, and the hydrophobic yarn keeps skin dry. The outer layer disperses moisture, enhancing comfort during physical activity.

Targeted for the 2026 spring/summer sports and outdoor apparel season, Teijin aims to sell 100,000 meters initially, expanding to 1 million meters annually by 2028, including applications in functional fashion. The fabric is made from 100-percent recycled polyester and uses per- and polyfluoroalkyl (PFAS)-free water-repellent technology, supporting sustainability goals.

2025 Quarterly Issue I

Twintex Optimizes Logistics Operations

TWINTEX, a Portugal-based clothing manufacturer specializing in medium-to-high-end and luxury garments, has implemented the Hänel Lean-Lift automated vertical warehouse from VRC Warehouse Technologies, Portugal, to optimize its logistics operations. This system enhances real-time stock management, reduces manual tasks, and improves process efficiency, enabling operators to quickly access and organize materials with greater accuracy, according to the manufacturer.

The installation has led to a 40-percent reduction in space usage, improved employee safety by eliminating the need for ladders, and minimized physical strain, according to the company.

“With VRC Warehouse Technologies’ equipment, an operator can, in just a few steps, retrieve and organize all the necessary materials, while stock management is updated by the day, hour, and minute, significantly enhancing performance in an impressive way,” said Mico Mineiro, COO of Twintex.

2025 Quarterly Issue I

Oerlikon Barmag, Evonik Partner On Chemical PET Recycling

Oerlikon Barmag and Evonik, both based in Germany, have announced a strategic partnership to advance chemical recycling of polyethylene terephthalate (PET) waste. The collaboration focuses on developing efficient depolymerization and purification technologies, integrated with repolymerization processes and scalable Engineering, Procurement and Construction (EPC) business models.This joint effort aims to commercialize a cutting-edge PET recycling technology by the end of the decade, fostering a global network of development partners.

Oerlikon Barmag brings expertise in polymer processing for fibers and packaging, while Evonik contributes innovative catalytic processes to enhance recycling efficiency.The technology will allow seamless integration into existing PET production, handling contaminated and mixed PET waste that currently ends up in landfills or incinerators.

“Our new catalytic processes and chemical technologies will complement the current mechanical recycling approach enabling high recycled PET content from heavily contaminated and mixed PET waste that would otherwise be incinerated or landfilled,” said Max Preisenberger, head of Catalysts at Evonik.

2025 Quarterly Issue I

Universal Fibers® Invests In Nylon 6,6

Universal Fibers®, Bristol,Va., is strengthening its investment in nylon 6,6 capabilities to support customers following Ascend’s exit from the bulked continuous fiber (BCF) business.This move ensures continued access to nylon 6,6 offerings, backed by capital investments in new spinning capacity for solution dyed nylon (SDN) and natural yarns. The company aims to meet evolving market demands while reinforcing its commitment to product innovation and customer satisfaction.

“Universal Fibers is excited to capitalize on this opportunity,” said Marc Ammen, CEO of Universal Fiber Systems.“We are confident that the addition of these resources will complement our existing product offerings and further underpin our commitment to product innovation, customer satisfaction and long-term growth.”

2025 Quarterly Issue I

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