Houston scientists land $1M NSF funding for AI-powered clean energy project

University of Houston professor Xiaonan Shan and the rest of his research team are celebrating fresh funding from a federal grant. Photo via UH.edu

A team of scientists from the University of Houston, in collaboration with Howard University in Washington D.C., has received a $1 million award from the National Science Foundation for a project that aims to automate the discovery of new clean-energy catalysts.

The project, dubbed "Multidisciplinary High-Performance Computing and Artificial Intelligence Enabled Catalyst Design for Micro-Plasma Technologies in Clean Energy Transition," aims to use machine learning and AI to improve the efficiency of catalysts in hydrogen generation, carbon capture and energy storage, according to UH.

“This research directly contributes to these global challenges,” Jiefu Chen, the principal investigator of the project and associate professor of electrical and computer engineering, said in a statement. “This interdisciplinary effort ensures comprehensive and innovative solutions to complex problems.”

Chen is joined by Lars Grabow, professor of chemical and biomolecular engineering; Xiaonan Shan, associate professor of electrical and computing engineering; and Xuquing Wu, associate professor of information science technology. Su Yan, an associate professor of electrical engineering and computer science at Howard University, is collaborating on the project.

The University of Houston team: Xiaonan Shan, associate professor electrical and computing engineering, Jiefu Chen, associate professor of electrical and computer engineering, Lars Grabow, professor of chemical and biomolecular engineering, and Xuquing Wu, associate professor of information science technology. Photo via UH.edu

The team will create a robotic synthesis and testing facility that will automate the experimental testing and verification process of the catalyst design process, which traditionally is slow-going. It will implement AI and advanced, unsupervised machine learning techniques, and have a special focus on plasma reactions.

The project has four main focuses, according to UH.

  1. Using machine learning to discover materials for plasma-assisted catalytic reactions
  2. Developing a model to simulate complex interactions to better understand microwave-plasma-assisted heating
  3. Designing catalysts supports for efficient microwave-assisted reactions
  4. Developing a bench scale reactor to demonstrate the efficiency of the catalysts support system

Additionally, the team will put the funding toward the development of a multidisciplinary research and education program that will train students on using machine learning for topics like computational catalysis, applied electromagnetics and material synthesis. The team is also looking to partner with industry on related projects.

“This project will help create a knowledgeable and skilled workforce capable of addressing critical challenges in the clean energy transition,” Grabow added in a statement. “Moreover, this interdisciplinary project is going to be transformative in that it advances insights and knowledge that will lead to tangible economic impact in the not-too-far future.”

This spring, UH launched a new micro-credential course focused on other applications for AI and robotics in the energy industry.

Around the same time, Microsoft's famous renowned co-founder Bill Gates spoke at CERAWeek to a standing-room-only crowd on the future of the industry. Also founder of Breakthrough Energy, Gates addressed the topic of AI.

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A View From HETI

Under a new agreement, ExxonMobil and Rice University aim to develop “systematic and comprehensive solutions” to support the global energy transition. Photo via Getty Images.

Houston-based ExxonMobil and Rice University announced a master research agreement this week to collaborate on research initiatives on sustainable energy efforts and solutions. The agreement includes one project that’s underway and more that are expected to launch this year.

“Our commitment to science and engineering, combined with Rice’s exceptional resources for research and innovation, will drive solutions to help meet growing energy demand,” Mike Zamora, president of ExxonMobil Technology and Engineering Co., said in a news release. “We’re thrilled to work together with Rice.”

Rice and Exxon will aim to develop “systematic and comprehensive solutions” to support the global energy transition, according to Rice. The university will pull from the university’s prowess in materials science, polymers and catalysts, high-performance computing and applied mathematics.

“Our agreement with ExxonMobil highlights Rice’s ability to bring together diverse expertise to create lasting solutions,” Ramamoorthy Ramesh, executive vice president for research at Rice, said in the release. “This collaboration allows us to tackle key challenges in energy, water and resource sustainability by harnessing the power of an interdisciplinary systems approach.”

The first research project under the agreement focuses on developing advanced technologies to treat desalinated produced water from oil and gas operations for potential reuse. It's being led by Qilin Li, professor of civil and environmental engineering at Rice and co-director of the Nanosystems Engineering Research Center for Nanotechnology-Enabled Water Treatment (NEWT) Center.

Li’s research employs electrochemical advanced oxidation processes to remove harmful organic compounds and ammonia-nitrogen, aiming to make the water safe for applications such as agriculture, wildlife and industrial processes. Additionally, the project explores recovering ammonia and producing hydrogen, contributing to sustainable resource management.

Additional projects under the agreement with Exxon are set to launch in the coming months and years, according to Rice.

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