Project Grant 2522539
- This $519,998 project grant, awarded by the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049), aims to revolutionize the discovery of new solid-state materials that can precisely control the mobility of ions and electrons. The University of California, San Diego (UCSD) will lead a collaborative research effort leveraging advanced artificial intelligence, machine learning, and automated synthesis tools to develop a data-driven approach for designing...
- This $400,000 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 that can precisely control the mobility of ions and electrons. The University of North Carolina at Charlotte (UNC Charlotte) will lead this collaborative research project, which leverages advanced AI, machine learning, and automated synthesis tools to develop a transformative approach to designing solid-state...
- This $500,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences Program (CFDA 47.049) aims to develop a new class of helical peptide-based ion conductors for enhanced energy storage applications. The project will leverage an AI-guided discovery approach to explore peptide chemistries, sequences, and molecular structures to understand how they affect ion transport for next-generation energy storage materials. Key outcomes include the development...
- The National Science Foundation awarded Duke University a $462,316 project grant under the Mathematical and Physical Sciences program (CFDA 47.049) for research titled "COLLABORATIVE RESEARCH: DMREF: DESIGN OF SUPERIONIC CONDUCTORS BY TUNING LATTICE DYNAMICS" from October 1, 2021 to September 30, 2025. The grant will support Duke University's research efforts to promote progress in the mathematical and physical sciences by increasing understanding of major problems through design of...
- This $1,250,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) aims to develop a new class of helical peptide-based polymers for enhanced ion conduction in energy storage applications. The project will use an AI-guided discovery approach to explore how the molecular structure of peptides, including their chemistry, sequence, helical character, and arrangement of ion-conducting groups, affects ion transport performance....
- This Project Grant award from the National Science Foundation's (CFDA 47.049) Mathematical and Physical Sciences program provides $400,000 in funding to Drexel University for a project titled "Accelerating Synthesizability of Mixed Anion Materials". The research aims to accelerate the creation of new inorganic materials with useful functional properties for next-generation energy, optoelectronic, and biomedical devices. The project employs computational materials science to predict how...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, with the CFDA number 47.070, is focused on developing new machine learning tools to rapidly predict structure-performance relationships for nanoporous materials. The $500,000 award, granted from Aug 1, 2025 to Jul 31, 2027, aims to accelerate the discovery of nanoporous materials for applications in clean energy and sustainability, such as gas storage, membrane...
- This National Science Foundation (NSF) Project Grant award under the Mathematical and Physical Sciences program (CFDA 47.049) provides $376,826 to North Carolina State University to conduct research on improving the stability and electrochemical ion insertion properties of vanadium oxide materials in aqueous environments. The project will explore using heteroatom doping techniques to enhance the performance of these materials for potential applications in energy storage, smart windows,...
- The National Science Foundation (NSF) awarded Duke University a $200,000 project grant under the agency's Mathematical and Physical Sciences program (CFDA 47.049) to support the "Accelerated Design, Discovery, and Deployment of Electronic Phase Transitions (ADEPT)" research project. The goal of this 4-year effort is to develop integrated protocols that transform the standard sequential materials discovery process into a closed-loop, iterative approach. This will enable the...
- This $326,350 Project Grant, awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program, supports collaborative research at the University of Delaware and Arizona State University to identify structural features of open framework materials based on silicon, germanium, and tin that can promote fast sodium-ion diffusion. The research aims to better understand the electrochemical behavior of these materials and how their structural properties...
This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program aims to develop a transformative approach to designing solid-state ion conductors using multi-element doping. The $1,060,000 grant, awarded to Duke University effective October 1, 2025 through September 30, 2029, will leverage advanced artificial intelligence, machine learning, and automated synthesis tools to establish a data-driven framework for optimizing ion and electron conductivities in materials for next-generation energy storage and electronic systems. The project will foster collaboration among U.S. and Canadian universities, national laboratories, and industry partners, providing hands-on research and training opportunities in AI-driven materials discovery.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.1m | 9/10/25 |