Project Grant FA95501910192

This National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) project grant awarded to the Regents of the University of Michigan will develop new algorithms for simulating the evolution of the internal microstructure of polycrystalline materials like metals and ceramics during heat treatment (annealing) processes. The $349,518 project, awarded on June 15, 2024, will take a novel approach to designing level set methods for modeling the motion of networks of surfaces that...

This Project Grant award from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) provides $299,431 to the University of Alabama in Huntsville (UAH) to develop characterization techniques for determining the rate and temperature-dependent properties of polymer matrix composite (PMC) materials. The goal is to enable accurate simulations of PMC behavior under dynamic loading conditions, such as vehicle crashes and aircraft impacts, to support the widespread...

This three-year National Science Foundation project grant of $536,195 supports research into abnormal grain growth in ultrafine grained metals under high cycle loading at room temperature. The principal investigators will conduct high-throughput characterization of cyclic-load-induced grain growth in ultrafine grained metal films using scanning electron microscopy with electron backscatter diffraction. Six different metallic films with varying degrees of elastic anisotropy and face-centered...

This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program, with Federal Assistance Listing (CFDA) Number 47.049, will provide $310,000 to Arizona State University (ASU) to develop new computational algorithms that can efficiently represent and model random microstructures for material property prediction and design. The key products and services to be delivered under this 3-year award include: Leveraging n-point correlation functions (NPCFs)...

This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $349,693.00 to Lehigh University to develop a physics-based, data-driven reduced-order model (ROM) for predicting microstructure evolution in binary alloy solidification. The research aims to enhance the computational efficiency of manufacturing process parameter optimization, which can drive technological innovation, strengthen the U.S. economy, and support STEM workforce development....

This $1,481,906 Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports research to discover and develop new multi-principal-element hexagonal-close-packed structural alloys using advanced computational materials science and additive manufacturing methods. The University of California, Berkeley is the awardee, with the State of California Controllers Office serving as the parent organization. The project aims to rapidly...

This Project Grant award from the National Science Foundation (NSF) Division of Materials Research under the Mathematical and Physical Sciences program (CFDA 47.049) provides $298,474 to the University of California, Santa Barbara (UCSB) to develop a software infrastructure for multi-scale simulations of materials. The key deliverables include: (1) Enumeration tools to generate a database of crystallographic and non-crystallographic models for training machine-learned interatomic potentials...

The National Science Foundation (NSF) awarded a 3-year, $390,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to Iowa State University to conduct a fundamental, in-situ quantitative study of coupled severe plastic deformation, nanostructure evolution, and phase transformations in titanium, titanium-zirconium alloys, and an aluminum-iron-cobalt-nickel-copper high entropy alloy. The research will involve experiments using a dynamic rotational diamond anvil...

This $142,686 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program will support research at Northwestern University to investigate the mechanism behind an "abnormal columnar-to-equiaxed transition" (CET) phenomenon observed in metals processed using wire-laser directed energy deposition (DED) techniques. The research will leverage state-of-the-art synchrotron X-ray experiments and numerical simulations to study the influence of...

This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $415,754 to the Texas A&M Engineering Experiment Station (Tees) to advance computational methods for accurately characterizing the mechanical behavior of critical materials. The key products and services to be delivered include: Developing a global programming "epsilon-optimal" spatial branching technique using a novel class of efficient convex underestimators. An...