This $221,462 Project Grant awarded by the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) aims to address fundamental mechanisms governing nanoparticle redistribution during solidification in metal-matrix nanocomposites (MMNCs), with a focus on aluminum alloys reinforced with nanoscale particles. The research team at the University of Michigan is combining advanced X-ray imaging and phase-field simulations to explore particle-solidification front...
This $289,939 Project Grant awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program supports collaborative research to advance the understanding of solute cluster strengthening in magnesium (Mg) alloys. The research aims to elucidate the fundamental mechanisms by which nanoscale groupings of solute atoms can dramatically improve the strength of metal alloys, compared to more conventional strengthening methods like precipitate hardening....
This $195,750 Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports research and educational activities at Lehigh University aimed at gaining fundamental insights into the segregation of multiple elemental species to grain boundaries and its effects on grain growth in nanocrystalline metallic alloys. The research involves developing theoretical and computational models to simulate the dynamics of grain boundary segregation...
This Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) provides $425,943 to Arizona State University to develop an AI-enabled automated workflow for designing ultrastrong and ultraelastic metallic alloys. The research team aims to leverage artificial intelligence, computational modeling, and experimental tools to rapidly design, synthesize, and test these complex concentrated alloys. The innovative strategies developed through...
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 $335,707 federal Project Grant award from the National Science Foundation's Mathematical and Physical Sciences (CFDA 47.049) program supports collaborative research at the University of California, Davis (UC Davis) to investigate the dynamics of short-range order in multi-principal element alloys. The project will leverage artificial intelligence techniques to analyze atom probe tomography data and develop a mathematical model for the evolution of short-range ordering in these advanced...
This $700,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will support The Johns Hopkins University's research on amorphous metal additive manufacturing. The project aims to develop simulation-informed models and computational tools to enable design of additively manufactured amorphous metals with desired strength and toughness properties. This will involve using machine learning to quantify structural order parameters...
This National Science Foundation (NSF) Project Grant, awarded under the Mathematical and Physical Sciences program (CFDA 47.049), provides $310,000 in funding to Arizona State University (ASU) to develop new computational algorithms for identifying critical microstructural features that influence material properties. The project aims to create an "explainable" approach to material design, leveraging n-point correlation functions to link microstructure morphology to effective properties...
This $359,907 three-year project grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) program will support research by the University of Alabama to characterize the chemical short-range order in multi-principal element alloys (MPEAs), also known as high-entropy alloys. The research aims to evaluate two key hypotheses: 1) that short-range order in MPEAs reaches a stable state independent of fabrication conditions, and 2) that the relaxation...
The National Science Foundation (NSF) awarded a $625,000 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to the University of Wisconsin - Madison. The grant will fund a collaborative research project titled "DMREF: Simulation-Informed Models for Amorphous Metal Additive Manufacturing". The goal is to develop simulation-informed models and computational tools that can predict the strength and toughness of amorphous metals produced through additive...
This NSF Mathematical and Physical Sciences (CFDA 47.049) project grant of $290,000 awarded to the New Mexico Institute of Mining and Technology (New Mexico Tech) will leverage atomistic simulations and machine learning to gain unprecedented insights into the complex multi-step crystallization processes that occur within metallic alloy melts. The research aims to develop a predictive modeling framework to understand the emergence of intricate transient liquid phase structures and their influence on subsequent nucleation and growth kinetics. This work will directly impact the discovery of novel metallic alloys with enhanced mechanical properties by enabling better control over the solidification microstructure. The project will also integrate research and education activities to broaden participation in STEM fields, including the development of summer camps and collaborative initiatives with Navajo Technological University.