This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $2,000 to fund a 2-day workshop focused on the Materials Genome Initiative (MGI). The workshop will bring together MGI grantees and program managers from various federal agencies, including the NSF, Department of Energy, Department of Defense, and National Institute of Standards and Technology. The goal is to assess the current...
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...
The Department of the Navy's Office of Naval Research awarded a $181,500 Project Grant to the Minerals Metals & Materials Society Inc. (doing business as TMS), a non-profit organization, under the Basic and Applied Scientific Research program (CFDA 12.300). The grant funding will support research and analysis on the integration of manufacturing machines, robotics, and artificial intelligence with "blacksmith-like forming technologies" for digital manufacturing. This project aims to...
This Project Grant award from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation provides $1,177,594 to support research titled "DMREF/GOALI/COLLABORATIVE RESEARCH: PHYSICS-INFORMED ARTIFICIAL INTELLIGENCE FOR PARALLEL DESIGN OF METAL MATRIX COMPOSITES AND THEIR ADDITIVE MANUFACTURING." The funding period is from September 1, 2021 to August 31, 2025. The research is being conducted under the NSF Engineering program (CFDA 47.041), which aims to...
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 $199,280 federal Project Grant award from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) will fund a workshop for artificial intelligence (AI)-powered materials discovery at the University of South Dakota (USD). The goal is to unite researchers from nine EPSCoR jurisdictions with experts in AI, engineering, materials science, physical science, and data science to create a world-class, data-driven materials research platform. The workshop will leverage...
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, funded by the National Institute of Standards and Technology (NIST) under the Measurement and Engineering Research and Standards (CFDA 11.609) program, aims to establish a Standing Committee on AI Technologies and Emerging Implications (SCAITEI) to track and analyze advancements in artificial intelligence (AI) and their broader impacts. The $248,751 grant will support the committee's activities, including regular meetings, workshops, and expert consultations to...
This $155,000 Project Grant from the National Science Foundation (NSF) Office of Integrative Activities (CFDA 47.083) supports fundamental research at Iowa State University to understand how nanoparticle self-assembly can be integrated into laser/powder-based additive manufacturing (AM) of multimodal metallic materials. The overall goal is to gain a deeper understanding of the mechanisms governing nanoparticle self-assembly behavior, microstructure evolution, and property enhancements in AM of...
This NSF Integrative Activities (CFDA 47.083) project grant, awarded to Iowa State University, provides $276,827 to develop a novel cyberinfrastructure for designing and characterizing printable multifunctional materials. Key products and services being delivered include: A universal, parallelized in silico voxelized microstructure generator to produce datasets of material morphologies with distinct properties and manufacturability Numerical methods for efficient characterization of...