Project Grant 2619025
- Federal Grant Award Summary The National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems awarded a $902,786 collaborative research project grant to the University of Wisconsin-Madison, effective October 1, 2025, through September 30, 2029, under the Engineering program (CFDA 47.041). This project will deliver advanced computational modeling and experimental research capabilities focused on accelerating the discovery and design of dynamically...
- The National Science Foundation Division of Chemistry awarded the University of Wisconsin–Madison $600,000 on August 1, 2026, for modular chemocatalysts research under the Mathematical and Physical Sciences program (CFDA 47.049). Professor Jennifer Schomaker's team is developing inexpensive silver-based catalysts to enable direct, selective conversion of carbon-hydrogen (C–H) bonds into carbon-nitrogen (C–N) bonds in organic molecules within a single step and in high yields. The catalysts...
- The National Science Foundation Division of Chemistry awarded the University of Wisconsin–Madison $450,000 on September 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to support Professor Marcel Schreier's research on electrocatalytic conversion of natural gas compounds into higher-value hydrocarbons at ambient temperature. The research investigates electrochemical methods—applying controlled electrical voltages to specially designed catalysts—to break and reform...
- The National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems awarded the University of Wisconsin–Madison $269,822 on February 15, 2026, under the NSF Engineering program (CFDA 47.041) to advance efficient global optimization of extremely expensive functions under uncertainty using structure-exploiting Bayesian methods. The research develops novel algorithms that exploit known problem structures within the Bayesian optimization framework to overcome...
- The National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems awarded the University of Florida $438,528 on April 1, 2026, under the Engineering program (CFDA 47.041) for collaborative research on dilute-alloy catalysts that selectively promote hydrodeoxygenation of lignan-derived compounds from plant-based biomass. The project develops new catalyst designs that control atomic-scale structure to improve reaction selectivity, reducing unwanted side...
- 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 Division of Chemistry awarded the University of Wisconsin - Madison $581,473 on July 15, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to investigate metal-catalyzed oxidation of hydrocarbons with oxygen, led by Professor Shannon Stahl of the Department of Chemistry. The research focuses on establishing the fundamental mechanistic understanding of how homogeneous metal catalysts enable aerobic autoxidation of hydrocarbons—chemical...
- The National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems awarded the University of Virginia $430,296 on November 15, 2025, to develop a design methodology for supported single-atom catalysts (SACs) that integrates computational modeling, machine learning, and experimental validation to enable selective bond activation in industrial chemical reactions. The project leverages machine learning techniques to predict and control the stability and...
- 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 $185,080 project grant from the National Science Foundation's Engineering program (CFDA 47.041) supports collaborative research between the University of Wisconsin-La Crosse and Purdue University to develop porous bi-layer catalysts for converting carbon dioxide into valuable products like ethylene at industrially relevant rates. The researchers will engineer novel layered catalyst structures combining specific metal/metal oxide heterostructures to reduce reaction overpotential and...
The National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems awarded the University of Wisconsin–Madison $429,646 on August 1, 2026, under the NSF Engineering program (CFDA 47.041) to conduct collaborative research on accelerated discovery and design of dynamically evolving catalyst material surfaces. The project integrates advanced computer modeling accelerated by artificial intelligence and machine learning with experimental tools to study how catalyst structures evolve during reactions. The research aims to establish general principles for understanding and controlling catalyst dynamics to enable efficient screening and discovery of more effective catalysts. The work focuses on ammonia fertilizer production, which consumes approximately 2% of annual global energy consumption, and on ammonia cracking to hydrogen over earth-abundant catalysts as an energy carrier application. The project will construct a unified, predictive model of dynamic restructuring of metal nanoparticles on metal-oxide supports by examining how materials properties and reaction environments affect catalyst performance, with the goal of designing more active, stable, and self-healing materials for industrially relevant ammonia synthesis. The award supports interdisciplinary training of graduate students in computer modeling and experimental methods, combined with educational outreach to K–12 students. Performance runs through July 31, 2030, at Madison, Wisconsin 53715.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $429.6k | 7/31/26 |