Project Grant 2503018

Award Date 5/1/25
Completion Date 4/30/28
Dollars Obligated $310K
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Tempe, AZ 85281, USA
Similar Awards
The National Science Foundation (NSF) awarded a $187,593 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to the University of Arizona, doing business as the Arizona Board of Regents. This 3-year effort, starting on August 1, 2024, seeks to develop novel modeling and simulation approaches for complex material systems. Key objectives include: Utilizing machine learning, mathematical techniques, and physical principles to construct models that provide more...
This $499,995 Project Grant awarded by the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) to Arizona State University's Division (doing business as Orspa) is funding a collaborative research project to accelerate the discovery of new superconducting materials. The research team, which includes experts in materials synthesis, local probes, and computation, aims to exploit the characteristics of known copper- and iron-based superconductors to design and...
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 $355,939 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports fundamental research to develop a deeper understanding of the deformation mechanisms in nanostructured high-strength metal alloys. The research aims to identify the key factors governing the nucleation and propagation of dislocations, which are critical to maximizing the strength of these advanced materials. Using a combination of atomistic modeling,...
This Project Grant award of $280,000 from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports computational and theoretical research at New York University (NYU) to address the question "How many materials exist?". The key objectives are to: (i) elucidate the relationship between structural regularities in materials and the number of available states; (ii) quantify the richness of compositional and structural diversity achievable...
This Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports research to develop a new class of ultralight, manufacturable materials with optimized mechanical and transport properties. The $362,000 award to the University of North Carolina at Chapel Hill aims to: Characterize the benefits of exploiting local uniformity and hyperuniformity in material design; Measure mechanical and transport properties to understand the...
This Project Grant award from the National Science Foundation (NSF) Division of Materials Research, under the Mathematical and Physical Sciences (CFDA 47.049) program, provides $500,000 in funding to the University of California, Berkeley (UC Berkeley) for theoretical and computational research and education in solid state physics and materials science. The key objectives are to use quantum theory, high-performance computing, and new concepts like topology to explain and predict the...
This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) for $415,754 will contribute to advancing national prosperity and manufacturing capabilities by supporting the study of state-of-the-art computational approaches for accurately characterizing the mechanical behavior of critical materials. The research will develop generalizable analytical methods for material characterizations with unprecedented accuracy and speed, addressing experimental...
This Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) program provides $108,067 to the University of Arizona to investigate how impurities impact the microstructure and mechanical behavior of aluminum alloys containing a high percentage of recycled materials. The goal is to establish compositional limits for scrap-heavy aluminum alloys that can maintain sufficient damage tolerance for high-performance applications. The project...
This $106,769 Project Grant from the National Science Foundation's Mathematical and Physical Sciences program will support the development of new methods to systematically explore and predict materials microstructures. The University of California, Davis will receive funding from September 1, 2022 through August 31, 2024 to adapt machine learning and data science techniques for materials science applications. Specifically, the university will integrate expert knowledge on physically...

This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program provides $310,000 to Arizona State University's Division of Materials Research (doing business as Orspa) to develop new computational algorithms and methods for representing and modeling the microstructure of disordered heterogeneous materials. The research aims to create an explainable and efficient approach for predicting material properties, with a focus on applications in soft robotics, biological systems, climate modeling, and other areas involving complex, disordered structures. The 3-year project will leverage n-point correlation functions and physics-based governing equations to uncover the critical microstructural features that influence material performance, streamlining the design process. The educational activities developed through this award will also contribute to training the next generation of researchers at the intersection of physics, mathematics, and computational science.

Generated 4/1/25, 5:02 AM