The National Science Foundation (NSF) awarded a $500,000 collaborative research project grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the University of Virginia (UVA) from October 1, 2025 to September 30, 2029. This "AI-Guided Discovery of Sustainable Ion-Conducting Peptide Electrolytes" project aims to develop a new class of helical peptide-based polymers for enhanced ion conduction in energy storage applications. The project will leverage machine...
This $1,060,000 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program aims to revolutionize the discovery of new solid-state materials for advanced energy storage, neuromorphic computing, and smart sensor applications. The project will leverage advanced artificial intelligence (AI), machine learning (ML), and automated synthesis tools to develop a transformative approach for designing solid-state ion conductors using multi-element...
This $192,372 Project Grant from the National Science Foundation Directorate for Mathematical and Physical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) supports the development of new methods to systematically explore and predict material microstructures using artificial intelligence techniques. The awardee, George Mason University, will adapt leading data science and machine learning methods to discover a practical representation of microstructure state space that...
This Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program provides $400,000 in funding to the University of North Carolina at Charlotte (UNC Charlotte) from October 1, 2025 to September 30, 2029. The project aims to revolutionize the discovery of new solid-state materials that can precisely control the mobility of ions and electrons, an essential step toward building the next generation of energy storage...
This $400,000 federal Project Grant award from the National Science Foundation's (NSF) Division of Civil, Mechanical, and Manufacturing Innovation (CMMI) program (CFDA 47.041, Engineering) aims to revolutionize the design and manufacturing of advanced nanocomposite materials using artificial intelligence (AI). The research focus is on understanding and controlling amorphous-crystalline interfaces within these materials, which can enhance their strength, durability, and reliability. The award...
This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program, CFDA 47.049, supports theoretical and computational research and education to enhance the accuracy and efficiency of first-principles quantum mechanical simulations for studying the electronic structure of materials. The $220,991 award aims to develop innovative machine learning-based approximations to the exact functional within density functional theory, which is critical for...
This $1,800,000 award from the National Science Foundation's Mathematical and Physical Sciences Program (CFDA 47.049) supports a collaborative research project led by professors at the University of Maryland and Iowa State University. The project aims to leverage artificial intelligence, robotics, and machine learning to accelerate the discovery of high-performance and biodegradable polymer nanocomposites with tunable properties. The researchers will develop an integrated platform that...
The National Science Foundation awarded a $410,440 Project Grant to the University of Virginia under the Mathematical and Physical Sciences program (CFDA 47.049). The grant funds an Research Experiences for Undergraduates Site focused on advanced materials synthesis from September 2021 through August 2024. As part of the Mathematical and Physical Sciences program's goals to strengthen the nation's scientific enterprise and increase knowledge of major problems, this REU Site will provide research...
This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) provides $330,000.00 in funding to the University of Maryland, College Park to develop an autonomous experimental framework for materials discovery. The key products and services to be delivered under this award include strategies for building smart experimental systems that allow different scientific instruments - such as microscopes, structural...
The National Science Foundation awarded a $431,993 project grant to the University of Virginia under the Mathematical and Physical Sciences program (CFDA 47.049). The grant will fund research from July 2021 through June 2025 related to lattice instability and room temperature hyper-diffusion in metastable phase-transforming alloys. The University of Virginia will investigate major problems confronting the Nation by promoting progress in mathematical and physical sciences through increasing...
The National Science Foundation awarded a $1,039,367 Project Grant to the University of Virginia under the Mathematical and Physical Sciences program (CFDA 47.049) for work running from March 15, 2022 to February 28, 2026. The award will support the development of an artificial intelligence-driven framework for the design and discovery of complex materials, with a focus on energetic materials of strategic importance to the Department of Defense and Department of Energy. Key activities include establishing datasets on various classes of energetic materials, developing a novel Physics-Informed Meta-Learning approach tailored for complex materials, and validating the framework through experimental collaboration with the Air Force Research Laboratory. The University of Iowa will receive sub-award funding to extend previous work on an energetic material species to encompass additional known energetic materials critical to national security applications. The project aims to significantly accelerate the design of new materials with targeted properties through reduced trial-and-error experimentation.