Project Grant 2513873
- This federal Project Grant award, funded by the National Science Foundation (NSF) Engineering program (CFDA 47.041), supports the development of an advanced simulation framework called FASTEST (Framework for Advanced Simulation of Multiphase Electrochemical Systems). The $562,467 award to Trustees of Tufts College will create an accessible, scalable computational tool to model and optimize complex electrochemical processes across various applications, including energy storage, manufacturing, and...
- 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 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 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) is funding research at The Leland Stanford Junior University to engineer a transformative new vat polymerization process for advanced manufacturing, named "ICLIP". The key objectives are to develop computer simulation and theory to enable injection of resin through the printed part during the additive manufacturing process, which could result in a two order of magnitude increase in...
- The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded a $396,048 project grant to Purdue University to study the mechanism of superfast (de)lithiation in conversion materials for fast-charging battery applications. The project aims to improve understanding of metal ion transport in solid particles to guide the design of next-generation battery materials capable of superfast charging, which is critical for reducing charging times and CO2 emissions in the transportation...
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $450,000 to Colorado State University (CSU) from August 1, 2024 to July 31, 2027. The project aims to develop a novel adaptive, fully anisotropic multiscale hp-element method to revolutionize simulation-based design in computational electromagnetics (CEM). The research will create exponentially convergent techniques to accurately and efficiently model multiscale, non-smooth behavior...
- The National Science Foundation awarded a $449,595 Project Grant to Stanford University under the Engineering program (CFDA 47.041) for research titled "SHOCK-TUBE STUDIES OF HIGH-TEMPERATURE FLAMES APPLICABLE TO NEXT-GENERATION ENERGY SYSTEMS." The three-year award beginning March 1, 2022 will support research using shock tubes to study high-temperature flames that can inform development of next-generation energy technologies. The NSF Directorate for Engineering seeks to improve...
- The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded a $346,593 project grant to the University of Texas at Austin (UT Austin) to develop an accurate and efficient method for large-scale simulations of heterogeneous electrocatalysis. The project will enhance machine learning force field (ML FF) capabilities by adding features to describe electron behavior under the grand canonical ensemble in the catalyst, creating an expanded "E-GCE-FF" model. This...
- This federal Project Grant award, funded by the National Science Foundation (NSF) Engineering program (CFDA 47.041), will support a collaborative research project to investigate the relationship between nanoscale material defects and macroscale reactivity of electrocatalytic materials. The $221,000 award, with a performance period from August 1, 2025 to July 31, 2028, will enable researchers from Duke University to employ advanced experimental and computational techniques to understand how...
- The National Science Foundation (NSF) awarded a $630,763 Project Grant under the Engineering program (CFDA 47.041) to Georgia TECH Research Corp, doing business as the Office of Sponsored Programs. The objective of this 3-year project, running from July 1, 2025 to June 30, 2028, is to develop a systematic approach to modeling multiscale fluid dynamics phenomena. This research aims to advance predictive modeling capabilities for applications such as weather forecasting, climate modeling, fusion...
This Project Grant award, provided by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041), will develop the FASTEST (Framework for Advanced Simulation of Multiphase Electrochemical Systems) computational framework. FASTEST will enable advanced, scalable simulation of complex, multiphase electrochemical processes fundamental to energy production, storage, healthcare, and manufacturing. Valued at $500,000.00, the project will be carried out by the Leland Stanford Junior University over a 5-year period from Sep 1, 2025 to Aug 31, 2030. The FASTEST framework will simplify computational challenges, accelerate innovations, and benefit society through improved energy technologies, healthcare applications, and industrial processes. Educational activities and workforce training are also integral components of this award.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $500.0k | 7/31/25 |