This National Science Foundation (NSF) Project Grant award for $333,028 under the NSF Computer and Information Science and Engineering (CISE) program (CFDA 47.070) funds a collaborative research initiative led by Rutgers, The State University of New Jersey. The project aims to address the challenge of training students, researchers, and instructors in computational tools and techniques at the chemistry, physics, and materials science interface. The four-year project will establish a robust...
This Project Grant award from the National Science Foundation (NSF) Office of Advanced Cyberinfrastructure, through the Computer and Information Science and Engineering (CFDA 47.070) program, provides $333,621.00 to Boise State University for a collaborative research project focused on training users, developers, and instructors at the chemistry/physics/materials science interface. The project aims to establish a robust community of materials modeling developers and enhance computational...
This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $491,583 to the Texas A&M Engineering Experiment Station (Tees) to develop a comprehensive education and hands-on training program that integrates computational materials science (CMS), machine learning/artificial intelligence techniques, and accelerated high-performance computing. The program aims to equip the future workforce with cutting-edge skills to drive innovation in...
This six-year, $1.5 million project grant from the National Science Foundation's STEM Education program (CFDA 47.076) will support the Fostering Interdisciplinary Community, Belonging, and Success of Low-Income, High-Achieving Mathematics, Computer Science, and Statistics Majors project at the University of Michigan, Ann Arbor. The project will provide scholarships and academic support services to 45 low-income, high-achieving undergraduate students majoring in mathematics, computer science,...
The University of Michigan was awarded a three-year, $959,801 Project Grant from the National Science Foundation Division of Materials Research under the Mathematical and Physical Sciences program (CFDA 47.049). The grant funds research into probing the evolution of granular microstructures during dynamic annealing via integrated three-dimensional experiments and simulations. The University of Michigan will conduct laboratory experiments and computer modeling to advance understanding of how...
The University of Michigan was awarded a $540,000 Project Grant from the National Science Foundation Division of Chemistry under the Mathematical and Physical Sciences program (CFDA 47.049) to conduct collaborative research on semiconducting behavior in silsesquioxane macromonomers and polymers from August 15, 2021 through July 31, 2024. As part of the Mathematical and Physical Sciences program's goals to promote progress in the mathematical and physical sciences and strengthen the nation's...
This federal Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) provides $229,649 to Michigan State University from October 1, 2024 to September 30, 2027. The goal of this project is to train a cohort of early- and mid-career scholars to become leaders in applying advanced quantitative and computational methods to STEM education research. The project will deepen participants' methodological training, provide sustained methodological support, and...
The National Science Foundation Office of Advanced Cyberinfrastructure awarded a $333,333.00 Project Grant to the University of California, San Diego (UCSD) under the Computer and Information Science and Engineering program (CFDA 47.070) for the project "COLLABORATIVE RESEARCH: CYBERTRAINING: IMPLEMENTATION: MEDIUM: TRAINING USERS, DEVELOPERS, AND INSTRUCTORS AT THE CHEMISTRY/PHYSICS/MATERIALS SCIENCE INTERFACE". The goal of this 4-year project is to establish a robust U.S.-based...
This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports computational and theoretical research at New York University (NYU) aimed at quantifying the complexity of materials landscapes and advancing materials discovery. The $280,000 award, which runs from March 1, 2025 to February 28, 2030, will fund the development of methods to efficiently sample complex energy landscapes, predict non-equilibrium entropies, and...
This $500,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the implementation of a CyberTraining program focused on modeling quantum dynamics of excited states in materials. The project aims to address a critical national need for enhanced training in computational methods that support the design of advanced materials for applications in solar energy, quantum computing, sensing, and optoelectronics....