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RASEI Physicist Recognized for Pioneering Materials Research

Daniel Morton — Fri, 28 Mar 2025 16:49:21 +0000

RASEI Physicist Recognized for Pioneering Materials Research Daniel Morton Fri, 03/28/2025 - 10:49

Daniel Morton

In a celebration of scientific excellence, RASEI Fellow Ivan Smalyukh has been named a 2024 Fellow of the American Association for the Advancement of Science (AAAS), joining an elite group of 471 distinguished scientists, engineers, and innovators.

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College Press Release

AAAS Press Release

A Journey of Scientific Discovery

Smalyukh's remarkable journey in science began in Ukraine, where he earned his bachelor's and master's degrees with highest honors from Lviv Polytechnic National University in 1994 and 1995. After completing his PhD in chemical physics from Kent State University in 2003, he joined ��Ҵ�ý�ƽ��'s faculty in 2007, quickly establishing himself as a pioneering researcher in materials science.

Cutting-Edge Research with a Purpose

What sets Smalyukh apart is not just his scientific research, but his commitment to addressing global challenges. His research spans an impressive range of fields, including:

Soft-condensed-matter physics
Optical physics
Liquid crystal properties
Nano-structured materials
Photonic and electro-optic applications

"We aspire to uncover fundamental physical principles underlying material properties," Smalyukh explains. "But our ultimate goal is practical – to contribute to a sustainable future by designing innovative materials that can help reduce energy demand and combat climate change."

A Multifaceted Scientist

Beyond his primary appointment in physics, Smalyukh's expertise extends across multiple disciplines. He holds courtesy appointments in electrical and computer engineering and is a fellow of RASEI.

Recognition and Impact

Smalyukh's contributions have not gone unnoticed. He has previously been honored with:

Fellow of the American Physical Society
Department of Energy Early Career Research Award
National Science Foundation CAREER Award

When reflecting on this latest honor, Smalyukh's gratitude shines through. "I am especially grateful to the many students and postdocs who have worked with me over nearly 20 years at ��Ҵ�ý�ƽ��," he said, highlighting the collaborative nature of scientific discovery.

A Continuing Legacy

With this AAAS fellowship, Smalyukh joins 80 other ��Ҵ�ý�ƽ�� professors who have received this prestigious recognition since 1981. His work continues to push the boundaries of what's possible in materials science, offering hope for more sustainable and innovative solutions to global challenges.

March 2025

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RASEI Entrepreneurship Highlighted at Startup Showcase

Daniel Morton — Wed, 26 Mar 2025 20:46:46 +0000

RASEI Entrepreneurship Highlighted at Startup Showcase Daniel Morton Wed, 03/26/2025 - 14:46

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Four RASEI-connected startups were highlighted in a showcase event for Embark Deep Tech Startup Creator and Destination Startup.

This showcase was a platform for cutting-edge startups, breakthrough research and high-growth potential ventures to connect university innovation with industry leaders and investors.

Ecovaleric (Adam Holewinski), WindSenseAI (Lucy Pao), Otoro Energy Inc. (Mike Marshak), and Tynt Technologies Inc. (Mike McGehee), were all featured in this event. With a range of ��Ҵ�ý�ƽ�� technologies ready to make a real-world impact, connecting these motivated entrepreneurs to investors and industry leaders provides support in growing these companies.

March 2025

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Big Award for Understanding the Tiny

Daniel Morton — Tue, 25 Mar 2025 19:26:24 +0000

Big Award for Understanding the Tiny Daniel Morton Tue, 03/25/2025 - 13:26

Tara McMurty

RASEI Fellow Steven Spurgeon has been awarded the Burton Medal for his work harnessing AI and Machine Learning to accelerate the study of the microscopic world of energy materials

By Tara McMurty | Adapted from an article originally published by the National Renewable Energy Laboratory

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Original NREL Article

MSA Press Release

National Renewable Energy Laboratory (NREL) materials data scientist and RASEI Fellow Steven R. Spurgeon has been honored with the Microscopy Society of America’s (MSA’s) Burton Medal award. The award, which is given annually to a single physical sciences researcher under the age of 40, is the highest honor the MSA bestows upon early-career scientists in the field of microscopy and microanalysis.

“I’ve been involved with the MSA for 15 years and have been fortunate to work with amazing leaders in the field of microscopy,” Spurgeon said. “To be recognized with this award and join their ranks is a true honor.”

Throughout his career, Spurgeon has pioneered the integration of machine learning (ML) with electron microscopy, using artificial intelligence (AI), to help make sense of the detailed images generated by electron microscopes. This approach not only dramatically enhances the efficiency of microscopy techniques; it also provides new insights into the behavior of functional materials—like silicon microprocessors used in computers and cell phones—at the atomic level. These insights enable researchers to fine-tune material properties and enhance efficiency to drive advancements in energy solutions.

“Dr. Spurgeon’s pioneering work at the intersection of AI and microscopy continues to transform materials science,” said Katherine Jungjohann, who manages NREL’s Analytical Microscopy and Imaging Science group. “His visionary leadership and groundbreaking research make him a truly deserving recipient of the Burton Medal.”

Spurgeon’s journey to the AI/microscopy frontier began with a deep curiosity about the fundamental building blocks of matter. As a graduate student at Drexel University, he studied materials science and engineering, focusing on developing new functional materials. After Spurgeon completed his Ph.D., he joined Pacific Northwest National Laboratory (PNNL), first as a postdoctoral research associate, and later as a staff scientist in the laboratory’s longstanding thin-film Basic Energy Sciences program. At PNNL, he developed new functional materials that could be used for energy storage and computing, which was recognized by the PNNL Laboratory Director’s Award for Early Career Achievement. He also had a realization that would shape the trajectory of his career.

AI-powered tools like transformers—which is what the “T” in ChatGPT stands for—began to emerge in the scientific community about 10 years ago and were used in areas like processing internet data and building autonomous vehicles. Watching the rise of these ML tools, Spurgeon began to wonder if they could benefit his own field of work.

“I realized we were collecting and analyzing all our data by hand,” Spurgeon recalled. “That made me ask, ‘Can we use AI to accelerate our experiments so that humans don’t have to make every single decision?’ I saw that machine learning could help us analyze larger datasets, uncover patterns that would be difficult to detect manually, and ultimately shorten the time to discovery.”

Inspired by these possibilities, Spurgeon helped launch an AI initiative at PNNL and established a groundbreaking partnership with industry to design a completely new AI-infused microscope. His efforts led to the development of the Autonomous Electron Microscope (AutoEM), a platform that leverages AI to improve the way researchers study and understand functional materials. The platform, which enables researchers to conduct analyses up to 1,000 times faster than traditional methods, earned Spurgeon and his team an R&D 100 Award in 2024.

“During his time at PNNL, Dr. Spurgeon rapidly ascended to international prominence in AI-guided materials science and electron microscopy,” said Sergei Kalinin, chief scientist of Physics-Informed Machine Learning at PNNL. “He established himself as a brilliant researcher, a staunch advocate for our field, and an exceptional mentor, and he continues this reputation today.”

After nearly 10 years at PNNL, Spurgeon joined NREL’s Material Science team in May 2024 with a mission to lead research on autonomous materials science and characterization in the development of new energy technologies.

“I joined NREL to help establish a forward-thinking vision for autonomous science,” Spurgeon said. “NREL's leadership in emerging energy technologies, coupled with its proactive approach to integrating AI, creates an environment like no other, where researchers can strategically innovate and push the boundaries of energy solutions.”

Since joining NREL, Spurgeon has integrated autonomous capabilities into lab workflows, established new industry partnerships, and created effective teams. In May 2025, he is organizing a workshop to convene leading experts to explore practical, real-world applications of autonomous research.

His work has sped up experiments and led to faster discoveries in energy materials and microelectronics, which translates to tangible benefits for NREL’s partners and the wider community. Moving forward, he is focused on using AI to develop important materials—like advanced semiconductors and catalysts—that could lead to major breakthroughs in technology.

As Spurgeon explained, “AI-driven autonomy in materials science is the key to breaking through current research bottlenecks. It allows us to move beyond incremental improvements and achieve truly transformative discoveries in the energy materials we use every day, saving money and improving resilience.”

Reflecting on his career, Spurgeon identified the thrill of discovery, bolstered by persistence in the face of failure, as a driving factor in all that he has achieved.

“Breakthroughs don’t come easily. They often follow many, many failures,” Spurgeon said. “But every once in a while, you get a new process to work or you uncover a phenomenon no one has seen before. Those moments of seeing something for the first time—something no one else has seen—are what make me come to work every day.”

Beyond the personal satisfaction of pushing the boundaries of knowledge, Spurgeon finds inspiration in the support of the scientific community and in the impact of his work on real-world technologies.

“When you’re all pushing in the same direction, you can help each other, share in the struggles, and celebrate the wins,” Spurgeon said. “It has been especially rewarding to work with so many talented early-career staff and students over the years.”

Spurgeon also recognizes that the focus of his work—AI integration—has been the subject of a fair amount of debate in recent years.

“We're at the start of a significant transformation in science, but the essence of the scientific process—generating and testing a hypothesis—still belongs to humans,” Spurgeon said. “AI can help us analyze more data and refine our decision-making, but it’s still on us as scientists to take responsibility for our conclusions.”

With this in mind, Spurgeon emphasizes the importance of building practical, trustworthy AI implementations whose conclusions can be clearly explained and that provide real value for users.

Looking ahead, Spurgeon is optimistic: “The future of materials science lies in the collaborative power of AI and human ingenuity. Together, we'll push the boundaries of innovation and improve the lives of everyone around the world.”

March 2025

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How NREL Researcher Garry Rumbles Has Advanced Science Through Mentorship

Daniel Morton — Thu, 13 Mar 2025 22:15:54 +0000

How NREL Researcher Garry Rumbles Has Advanced Science Through Mentorship Daniel Morton Thu, 03/13/2025 - 16:15

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NREL Highlight of Garry

2022 Profile of Garry

Garry Rumbles, who has been a leader in the RASEI community since its inception, has departed the National Renewable Energy Laboratory, taking an emeritus fellow appointment, and has plans to explore new horizons.

Check out the fantastic piece published on the NREL website that brings together opinions from many who worked with Garry over the years, and who all highlight the support, mentorship, and generosity that he has brought to his engagement in collaborative research. It also provides a really interesting insight into his research career, that has taken him all over the place and provided new experiences and connections.

As Garry waits for the sailing season to warm up his colleagues are disappointed in the loss of a positive and encouraging mentor, but with his emeritus position we suspect (expect) Garry to still be a positive and supportive presence in our culture for years to come. When he isn’t sailing with his family.

March 2025

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Highlight in The Conversation

C&EN Highlight

Colorado Arts and Science Magazine Highlight

Perfluoroalkyl and polyfluoroalkyl substances, or PFAS, are synthetic compounds that have found widespread use in consumer products and industrial applications. Their water and grease resistant properties have been part of their attraction in their applications, but these are also the reason that they are now found practically everywhere in the environment, they are very difficult to decompose.

While many chemicals will decompose relatively quickly, studies have shown that PFAS are expected to stick around for up to 1000 years. While this durability is great in something like firefighting foams or non-stick cookware, it is not great when these compounds get into the environment.

This new article, published in Nature in November of 2024, describes the work of a collaborative team of theoretical and experimental chemists, who have developed a new photochemical reaction that could hold promise of speeding up the decomposition of PFAS. A recent highlight of this work, written by the graduate student and postdoctoral fellows who did the research, appeared in The Conversation.

Using a photocatalyst, that absorbs light to speed up a reaction, the researchers were able to ‘activate’ one of the carbon-fluorine bonds, one of the strongest bonds in organic chemistry. The photocatalyst absorbs light, transfers electrons to the fluorine containing molecules, which then breaks down the sturdy carbon-fluorine bond.

While this doesn’t decompose the whole molecule, it is essentially like finding a chink in the armor, it opens the door to degradation of the PFAS to harmless smaller molecules.

This study demonstrated this process on a small scale, and the researchers are looking at how to optimize this reaction so it is more robust and can be done on larger scales. This work is part of a National Science Foundation funded Center for Chemical Innovation called SuPRCat, a research community that will be looking at this challenge, among others.

If it is possible to break down these forever chemicals, it will help prevent these environmental pollutants being in our soil, rivers, and drinking water. Excited to see the next steps from the team!

December 2024

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Innovative Wind Turbine Control Earns Lucy Pao Prestigious IEEE Award

Daniel Morton — Thu, 19 Dec 2024 15:03:00 +0000

Innovative Wind Turbine Control Earns Lucy Pao Prestigious IEEE Award Daniel Morton Thu, 12/19/2024 - 08:03

Daniel Morton

Renewable and Sustainable Energy Institute (RASEI) Fellow Lucy Pao, from the Department of Electrical, Computer, and Energy Engineering at University of Colorado Boulder, is travelling to Milan, Italy, this December to receive the IEEE Transactions on Control Systems Technology Outstanding Paper Award.

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IEEE Conference on Decision and Control

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ForWind Center

Collaboration Highlight

Each year a panel reviews papers nominated from the past two years and selects an article of high significance. The paper, published in 2022, describes the first experimental implementation of Model Predictive Control of the pitch angles of the blades in wind turbines. The Award Ceremony will be held on December 18, 2024, as part of the 2024 IEEE Conference on Decision and Control, held at the Milan Convention Centre in Italy.

Model Predictive Control (MPC) is an established control technique that is popular in the general control systems community. One of the primary demonstrated applications for MPC is in process chemistry for the large-scale manufacture of pharmaceuticals and commodity chemicals. This paper describes, for the first time, the application of this technique in the blade pitch control of wind turbines. Control systems in wind turbines are essential for optimizing their performance, ensuring safety, and maximizing energy output. By monitoring key parameters such as blade pitch, rotor speed, yaw angle, and blade root bending moment, the control system can adapt to changing wind conditions, enhancing the efficiency of power generation and reducing mechanical stress on components, helping to extend the turbine’s lifespan.

“MPC is a very nice approach, but it is computationally complex,” explained Lucy. “There is an optimization that needs to be done at every time step, so getting it into a form where we could implement it, was a challenge”.

While MPC is a computationally intensive approach, the benefits for wind turbines are significant. Many wind turbine control systems are based on a feedback-only system, where the adjustments are based on feedback of what is happening now. MPC enables preview information to be included, so, for example, you can incorporate knowledge of a gust coming through and the controls can prepare the turbine ahead of time, which can reduce structural loading on that turbine. It changes the control system from simply being responsive to stimuli, to instead being proactive to knowledge of the conditions, essentially letting the wind turbine “see into the future”.

The MPC approach could have significant impacts on how wind turbines are controlled, not only improving their efficiency, but also reducing structural stress on the turbines and extending their lifetimes.

“We are really very excited about this award,” said Pao. “This has been a wonderful collaboration with our colleagues at the ForWind Center for Wind Energy Research in Oldenburg Germany. We started in 2016, with an experimental campaign in 2019 that led to this paper”. Misha Sinner, the lead author of the study, was a graduate student working with Lucy Pao and is now a Research Engineer at the National Renewable Energy Laboratory (NREL). Misha travelled to Germany to lead this experimental campaign, and worked together with the team in Germany, led by Martin Kühn, to apply MPC to the turbines. “This was a complex experiment to run, and it wouldn’t have been possible without the team of experts and infrastructure at ForWind,” said Misha. “The collaboration has been a really symbiotic relationship; I really value Martin’s input, support, and feedback on the work,” said Lucy.

The collaboration was sparked over a meeting in Stuttgart in 2015. “Martin and I were both external evaluators on a PhD defense for a student at the University of Stuttgart. We had lots of opportunities to chat, and when I mentioned that I was coming up on a sabbatical, he suggested a fellowship that I could apply for that would enable me to work with them,” explained Lucy. This was the start of the long and fruitful collaboration among the team.

There is hope that the recognition that the award brings will accelerate adoption of advanced control systems by the wind energy industry. “MPC can take into account constraints on the wind turbine system, and it is flexible enough to incorporate preview wind information,” said Lucy. This could provide significant improvements in the efficiency and lifetime of future wind turbines. “It is a really nice control framework, and while it has been looked at in the simulation context, it had not been examined experimentally for blade pitch control, to our knowledge,” said Lucy. “We have heard that Industry is looking at MPC, but we don’t know whether it has made it into their actual controllers. The wind turbine industry can be quite secretive about what they are doing”.

The MPC approach could have significant impact on future, and existing wind turbines, by giving the control system the chance to effectively “see into the future” by a couple to tens of seconds so the turbine can prepare itself. “We are very excited and really touched by this award,” emphasized Lucy, with the hope that this will catch the attention of those in the wind turbine industry.

December 2024

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