This $500,001 Project Grant was awarded by the National Science Foundation (CFDA #47.070 - Computer and Information Science and Engineering) to the Texas A&M Engineering Experiment Station (Tees) to conduct research on advancing autonomous, materials-on-demand manufacturing capabilities through the convergence of manufacturing, AI, and materials science. The key objectives are to develop foundational principles for shape-constrained machine learning, effective handling of...
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 National Science Foundation (NSF) award under the STEM Education program (CFDA 47.076) provides $200,000 to West Texas A&M University to establish an introductory computational materials science (CPMS) course and develop related educational modules. The project, titled "Strengthening High-Tech Marketable Skills for Undergraduates through a Computational Materials Science Course," aims to enhance the capacity for students, including Hispanic students, to engage in high-tech...
This National Science Foundation (NSF) STEM Education Program (CFDA 47.076) Project Grant award of $2,475,715 to The Johns Hopkins University supports the development of an innovative educational program to train graduate students in artificial intelligence (AI)-driven semiconductor materials and device research. The program aims to prepare a multidisciplinary workforce fluent in both the science underlying electronic device fabrication and the incorporation of AI/machine learning into the...
The National Science Foundation Division of Materials Research awarded a $1.8 million Project Grant to the Texas A&M Engineering Experiment Station (doing business as Tees) to support the "DMREF: AI-GUIDED ACCELERATED DISCOVERY OF MULTI-PRINCIPAL ELEMENT MULTI-FUNCTIONAL ALLOYS" project. The funding period is from October 1, 2021 to September 30, 2025. Under this award, Tees will utilize artificial intelligence-guided methods to rapidly discover new multi-principal element alloys...
This Project Grant award of $310,000 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program supports the development of an innovative training program called CITEAM. The program aims to address a critical gap in the materials science research community's ability to effectively process and manage large datasets from advanced electron microscopes. The key products and services to be delivered under this award include: Providing...
This $380,000 Project Grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports the Summer School for Integrated Computational Materials Education held at the University of Michigan from September 1, 2022 to August 31, 2025. The Summer School trains graduate students, postdoctoral fellows, and professors in computational and data science approaches for materials research and education to expand educational opportunities in computational...
This National Science Foundation Project Grant of $533,432 awarded on March 1, 2023 will fund research, education, and outreach activities at Texas A&M Engineering Experiment Station through February 28, 2028. Under the NSF Engineering program (CFDA 47.041), this award will support the development of an all-scale continuum modeling framework to predict plastic deformation and failure across material scales. The awardee will conduct research on magnesium-aluminum micropillars, nanoporous...
This National Science Foundation project grant of $150,000 will fund research at Texas A&M Engineering Experiment Station to upskill craftspeople for future manufacturing roles. Under the NSF Engineering program (CFDA 47.041), the award will establish a multidisciplinary team to study challenges craftspeople face in participating in the emerging workforce for end-user driven manufacturing. The team will characterize craft end-users and identify customization needs through surveys. Partnering...
This $500,000 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports research at Northeastern University to advance computational and data-enabled science and engineering. The project aims to develop a theoretical foundation for "Mechanics Informatics" - a new approach to learning material properties from a single, optimized mechanical test rather than requiring many tests. This will enable more efficient and cost-effective design of...