Project Grant 2523243
- This $369,591 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will investigate the dynamic behavior of technologically-important metal cations such as gallium and copper dispersed in porous oxide materials. The research will explore the spatial extent and timescale for ion mobility, the role of adsorption, and the effect of temperature, pressure, protons, and ligand availability. Spectroscopic fingerprints for ion mobility will be identified and...
- The National Science Foundation (NSF) awarded a $640,000 Project Grant under the Engineering program (CFDA 47.041) to the University of Washington (UW) to investigate the dynamic behavior of technologically-important metal cations, such as gallium and copper, dispersed in porous oxide materials. The 4-year project aims to explore the spatial extent and timescale for ion mobility, the role of adsorption, and the effect of temperature, pressure, protons, and ligand availability. The research...
- The National Science Foundation (NSF) awarded a $221,000 Project Grant under the Engineering program (CFDA 47.041) to Duke University to conduct collaborative research on linking nanoscale heterogeneities with macroscale reactivity of electrocatalytic materials. The goal is to improve the performance and stability of electrodes used in many energy technologies such as batteries and fuel cells. The research will combine experiments using liquid-phase transmission electron microscopy with...
- This $283,480 Project Grant awarded by the National Science Foundation's Engineering program (CFDA 47.041) will support collaborative research to investigate the link between nanoscale structural defects and macroscale reactivity of electrocatalytic materials. The research aims to provide insights into how specific types of nanoscale defects can improve the stability and performance of electrochemical materials used in energy technologies such as batteries and fuel cells. The project will...
- 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 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 $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 $400,000 project grant awarded by the National Science Foundation's Engineering program (CFDA 47.041) aims to accelerate the discovery of advanced metal-organic framework (MOF) materials for hydrogen-based energy technologies. The research, conducted by a multidisciplinary team from the University of Manchester (UK) and Rutgers University (USA), combines computational modeling, molecular simulations, machine learning, and experimental synthesis to better understand how MOF structure...
- This Project Grant from the National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems supports $422,695 in research at the University of Virginia from January 1, 2023 through December 31, 2025. The award aims to characterize and predict changes in catalytic active sites in metal-containing zeolites under dynamic reaction conditions through the Engineering program (CFDA 47.041). Specifically, the university will develop methodologies to quantify...
- The National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems awarded a $597,273 Project Grant to the Rector & Visitors of the University of Virginia to develop computational molecular models and theory predicting the dynamics of agglomeration and redispersion of metals supported by zeolites. This project, funded under the NSF Engineering program (CFDA 47.041), will provide guidance on engineering deactivation resistant zeolites used widely in the...
This $640,000 Project Grant awarded by the National Science Foundation's Engineering program (CFDA 47.041) to The Leland Stanford Junior University will investigate the dynamic behavior of technologically-important metal cations such as gallium and copper dispersed in porous oxide materials. The project aims to explore the spatial extent and timescale of ion mobility, the role of adsorption, and the effects of temperature, pressure, protons, and the availability of ligands. Spectroscopic fingerprints for ion mobility will be identified and used to probe the dynamic behavior of these catalytic materials. Guided by theoretical simulations, this research will provide insights into predicting temperature regimes for cation mobility onset and how mobility influences catalytic performance, activation, and deactivation. The data and models generated will aid in intentionally synthesizing materials with desired dynamic behaviors to enhance the productivity of industrial processes relying on solid catalytic materials. This 4-year project is scheduled to run from October 1, 2025 to September 30, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $640.0k | 8/22/25 |