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 (NSF) Division of Chemistry awarded a $265,161 Project Grant to Rector & Visitors Of The University Of Virginia, doing business as the University of Virginia, for the "Cooperative Site and Electrolyte Design for Optimizing Interfacial Electrokinetics" project under the Mathematical and Physical Sciences program (CFDA 47.049). This grant supports research by Drs. Huiyuan Zhu and Hongliang Xin to develop new strategies for improving the performance...
The National Science Foundation awarded a $431,091 Project Grant to the University of Massachusetts under the Engineering federal grant program (CFDA 47.041) to develop computational tools for rational design of nanoporous catalysts for carbonylation reactions. The award period is from September 1, 2022 through August 31, 2027. The project aims to discover effective porous solid-acid catalysts as a technologically and environmentally appealing alternative to rare metal catalysts and corrosive...
This $257,763 National Science Foundation project grant supports research at the University of Virginia from February 2022 through January 2025 under the Engineering program (CFDA 47.041). The university will conduct collaborative research to better understand the catalytic mechanism and role of chlorine for ethylene epoxidation. Researchers will use advanced experimental, computational, and machine learning methods to identify the active phase, surface structure, and surface intermediates...
This National Science Foundation (NSF) grant under the Engineering (CFDA 47.041) program provides $625,184 to Virginia Polytechnic Institute & State University (Virginia Tech) to develop a design methodology for supported single-atom catalysts (SACs) - an emerging class of catalysts with exciting properties that can revolutionize industrial applications. The project embraces an integrated computational-experimental approach using machine learning to understand how the properties of the metal...
The National Science Foundation (NSF) awarded a $638,566 Project Grant under the Engineering program (CFDA 47.041) to the University of Delaware. The grant supports a collaborative research effort to develop a computational-experimental methodology using machine learning to design stable, active, and selective single-atom catalysts for industrial applications. The project aims to uncover physics-inspired descriptors to predict how the support material properties influence the stability,...
This National Science Foundation (NSF) Engineering program Project Grant, awarded to The Trustees of Princeton University, provides $460,965 to support research on engineering circular hydrocarbon reactions in zeolite-based catalysts. The project aims to investigate key design factors that affect the efficiency, selectivity, and stability of zeolite catalysts for the breakdown and remanufacturing of waste polyolefin plastics into valuable fuels and chemicals. The research focuses on developing...
This Project Grant from the National Science Foundation Division of Chemistry, under the Mathematical and Physical Sciences federal grant program (CFDA 47.049), provides $182,589 to support collaborative research between Georgia Institute of Technology, University of Florida, and Virginia Polytechnic Institute & State University (Virginia Tech) from June 1, 2023 to May 31, 2026. The researchers will examine the connections between the structure, dynamics, and catalysis of reactions with...
The National Science Foundation (NSF) awarded a $291,349 Project Grant to the University of Alabama under the Engineering program (CFDA 47.041) to develop and apply advanced machine learning force fields to simulate nanoparticle catalysts under realistic reaction conditions. The goal is to elucidate the catalytic active sites and how nanoparticle shapes evolve during catalytic processes. This research will help enable more sustainable chemical manufacturing by improving the computational...
The National Science Foundation (NSF) awarded a $312,197 Project Grant to Rector & Visitors Of The University Of Virginia, doing business as the University of Virginia (UVA), under the Engineering (CFDA 47.041) program. The grant supports UVA's research to develop scalable manufacturing processes for producing large-area thin films of metal-organic frameworks (MOFs) for separation applications. The project aims to combine in-situ X-ray probes, computational modeling, and experimental...