Project Grant 2514002
- This federal Project Grant award of $368,557, made on August 1, 2025 by the National Science Foundation (NSF) under its Engineering program (CFDA 47.041), supports collaborative research to gain a fundamental understanding of the behavior of water-in-salt electrolytes (WISES) at electrified interfaces. The research aims to explore how tuning the WISE electrical double layer can modulate the heterogeneous electron transfer rate, with the potential to drive economic growth and technological...
- This Project Grant award from the National Science Foundation (NSF) Division of Materials Research under the Mathematical and Physical Sciences program (CFDA 47.049) provides $298,474 to the University of California, Santa Barbara (UCSB) to develop a software infrastructure for multi-scale simulations of materials. The key deliverables include: (1) Enumeration tools to generate a database of crystallographic and non-crystallographic models for training machine-learned interatomic potentials...
- This $170,000 Project Grant awarded by the National Science Foundation (NSF) Engineering Program (CFDA 47.041) aims to uncover the relationship between liquid electrolytes and battery performance, which is crucial for developing next-generation rechargeable batteries. The research team at the University of Illinois will systematically vary electrolyte composition and concentration to identify optimal solutions, leveraging high-throughput characterization, computational simulations, and machine...
- This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) in the amount of $561,518 provides funding to researchers at The Pennsylvania State University to develop new computational modeling tools that integrate density functional theory and classical molecular dynamics methods. The goal is to better predict the kinetics of electrochemical reactions relevant to clean energy applications like hydrogen fuel cells, water electrolysis, and carbon dioxide...
- 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 $620,000 Project Grant awarded by the National Science Foundation's (CFDA 47.049) Mathematical and Physical Sciences program supports research by Professors Francesco Paesani of the University of California, San Diego and Mircea Dincă of Princeton University. The project aims to investigate the molecular mechanisms governing ion transport in confined environments, such as metal-organic frameworks (MOFs), and use these insights to design improved quasi-solid-state electrolytes for energy...
- The National Science Foundation (NSF) awarded a $760,000 Project Grant under the Engineering Program (CFDA 47.041) to Northern Illinois University. The project aims to systematically vary the composition and concentration of battery electrolytes to determine optimal solutions for advanced rechargeable batteries. Key objectives include: 1) Gaining a better understanding of solvation structure through high-throughput experimentation and characterization using techniques like Raman spectroscopy and...
- This Project Grant award from the National Science Foundation's (NSF) Division of Chemical, Bioengineering, Environmental, and Transport Systems under CFDA program 47.041 Engineering is focused on collaborative research to link nanoscale heterogeneities with macroscale reactivity of electrocatalytic materials. The $283,480 award, with a performance period from August 1, 2025 to July 31, 2028, aims to investigate how tiny structural differences in materials can affect their performance and...
- This federal Project Grant award, valued at $350,000.00 and provided by the National Science Foundation (NSF) Engineering program (CFDA 47.041), will fund collaborative research to gain a fundamental understanding of the behavior of water-in-salt electrolytes (WISES) at electrified interfaces. The project aims to investigate how tuning the WISE electrical double layer can modulate the heterogeneous electron transfer rate, which has the potential to drive innovation in metal-ion batteries...
- This $519,998 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program 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 leverage advanced artificial intelligence (AI), machine learning (ML), and automated synthesis tools to develop a transformative approach for designing solid-state ion conductors using...
This $147,266 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports the development of the MISPR (Materials Informatics for Structure-Property Relationships) computational framework. The MISPR project aims to build a robust, open-source platform that integrates quantum chemical simulations, classical molecular dynamics, and machine learning to accelerate the discovery and understanding of complex electrolytes and electrode-electrolyte interfaces. This will enable multiscale modeling and simulation capabilities to support the design of next-generation electrochemical technologies, such as batteries, fuel cells, and electrochemical reactors. The award will fund four key enhancements to the MISPR framework, including automation of high-throughput multiscale simulations, development of hybrid workflows for spectroscopic predictions, integration of optimization algorithms and machine learning models, and expanded support for open-source simulation engines and force fields. The project aims to serve a growing ecosystem of academic researchers, national laboratories, and industry partners seeking scalable and reproducible tools for electrolyte design and interface characterization.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $147.3k | 7/29/25 |