Project Grant 2513872
- 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...
- The National Science Foundation (NSF) awarded a $575,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to Iowa State University of Science and Technology. The grant supports the development of an "advanced simulation framework called FASTEST (Framework for Advanced Simulation of Multiphase Electrochemical Systems)" that enables researchers and engineers to effectively model and optimize complex electrochemical processes....
- 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...
- The National Science Foundation (NSF) awarded a $306,199 Project Grant to Trustees of Boston University under the Engineering program (CFDA 47.041) to conduct research on the physical-chemical processes that lead to unstable electrodeposition in electrochemical energy storage systems, such as batteries. The research will involve an integrated computational-experimental approach to study the complex coupling of interfacial phenomena during electrodeposition, with the goal of developing a...
- 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...
- 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 $1,456,954 Project Grant award from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of FESTIM, an open-source software tool for accurate hydrogen transport modeling. The project, led by the Massachusetts Institute of Technology (MIT), aims to establish a self-sustaining open-source ecosystem for FESTIM, enabling researchers worldwide to tackle critical challenges in hydrogen-related fields like energy and...
- 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 $420,000 Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports the development of new numerical algorithms for simulating complex multiscale, multiphysics systems. The primary awardee, Virginia Polytechnic Institute & State University (Virginia Tech), will construct a novel hybrid time integration framework to enable accurate and efficient co-simulation of systems governed by time-dependent partial differential...
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 healthcare. The project aims to address challenges in accurately simulating multiphase, multi-scale electrochemical systems by employing adaptive meshing, implicit numerical methods, and architecture-aware optimization. The work will also incorporate educational activities and community training to increase STEM participation and develop a skilled workforce in these cutting-edge technologies. This project seeks to accelerate innovations and improve the performance, efficiency, and affordability of critical technologies across several crucial sectors, benefiting society through advancements in energy, healthcare, and industrial applications.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $562.5k | 7/31/25 |