The National Science Foundation (NSF) provided a $676,990 Project Grant award under the Engineering program (CFDA 47.041) to North Carolina State University (NC State) to develop a new class of ultralight, manufacturable materials with optimized mechanical and transport properties. The key objectives are to: Characterize and understand the benefits of exploiting local uniformity and hyperuniformity in materials design, Measure mechanical and transport properties to create...
This $223,010 Project Grant award from the National Science Foundation's (NSF) Division of Civil, Mechanical, and Manufacturing Innovation (CMMI) under the Engineering program (CFDA 47.041) supports the development of a new class of ultralight, manufacturable materials with jointly optimized mechanical and transport properties. The key activities include: Characterizing the benefits of exploiting local uniformity and hyperuniformity in materials design and fabrication, Measuring the mechanical...
This $332,070 federal Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports the University of California, Los Angeles (UCLA) in developing new approaches to design a class of disordered lattice materials inspired by "hyperuniform" structures. The objective is to engineer ultralight, manufacturable materials with optimized mechanical and transport properties for applications in aerospace, biomedical, and other...
The National Science Foundation (NSF) awarded a $499,999 project grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the University of North Carolina at Chapel Hill (UNC). This 4-year grant aims to advance the understanding of quantum materials and establish a design space for room-temperature superfluorescent quantum emitters. The project brings together UNC researchers with expertise in materials synthesis, quantum property characterization, computational materials...
This $310,000 Project Grant award from the National Science Foundation's Division of Materials Research under the Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) supports research at Arizona State University to develop explainable machine learning representations of microstructures for improved material property prediction and design. The key products and services to be delivered include: Developing new computational algorithms to learn critical n-point correlation...
This National Science Foundation project grant of $350,000 will fund research at North Carolina State University from November 2022 to October 2025 under the Engineering program (CFDA 47.041). The university will investigate the impact of heterogeneity and scale on the nonlinear viscoelastic behavior of polymer glasses and their nanocomposites. Researchers will use mechanical spectral hole burning and large amplitude oscillatory shear techniques to characterize these materials at different...
The National Science Foundation (NSF) Division of Materials Research awarded a $346,461 project grant to North Carolina State University (NC State) under the Mathematical and Physical Sciences program (CFDA 47.049). The grant supports research and education aimed at advancing simulation and computational approaches for studying the atomic and electronic structures of materials. Key focus areas include: Expanding the ability of quantum Monte Carlo (QMC) many-body wave function methods to describe...
This Project Grant award for $313,087 from the National Science Foundation's Engineering program (CFDA 47.041) will support a collaborative research initiative at the State University of New York at Binghamton to develop a physics-informed machine learning framework for tailoring the multidirectional mechanical properties of composite materials. The research aims to create a data-driven approach to understand the relationship between material architecture and mechanical behavior, facilitating...
This five-year, $1,279,786 project grant from the National Science Foundation's Engineering program (CFDA 47.041) will fund research at the Massachusetts Institute of Technology to develop a fundamental understanding of the mechanics of three-dimensional self-architected materials. The grantee will integrate computational modeling and experimental methods to relate geometric parameters like curvature to mechanical responses of nano-to-microscale self-architected materials derived via spinodal...
The University of North Carolina at Chapel Hill was awarded a $545,613 Project Grant from the National Science Foundation Division of Materials Research under the Mathematical and Physical Sciences program (CFDA 47.049). The grant will fund research from August 2021 through July 2024 on optical bound states and non-linearity in geometrically-modulated dielectric nanowires. The Mathematical and Physical Sciences program aims to advance scientific knowledge and understanding in these fields...
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 structure-process-property relationships, including the influence of heterogeneity and defects; and
Create new computational tools to optimize material development through integrated theory, synthesis, and experimentation.
The project will pursue three routes for co-optimizing material properties: adjustments to initial configuration and connectivity, control of microscale heterogeneity from additive manufacturing, and designing time-varying signals to create targeted spatial correlations. The research will produce a shared configuration and code library for use by other researchers. The project also includes workforce development and public outreach activities.