This National Science Foundation (NSF) Designing Materials to Revolutionize and Engineer our Future (DMREF) Project Grant award, valued at $150,000 and running from October 1, 2023 to September 30, 2027, supports collaborative research to develop simulation-informed models for additive manufacturing of amorphous metals. The research team at The Washington University aims to derive meaningful measures of material structure from electron nanodiffraction and simulation data, and build predictive...
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 $876,311 National Science Foundation project grant funds research at the University of Wisconsin-Madison to design grain interfaces in polycrystalline metallic materials that improve damage resistance. The grant is part of NSF's Mathematical and Physical Sciences program (CFDA 47.049), which supports fundamental research and education in these fields to strengthen the national science enterprise. The three-year project beginning January 2022 will investigate functionalizing grain boundaries...
The National Science Foundation (NSF) Division of Materials Research awarded a $262,500 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the Georgia Tech Research Corporation (Georgia Tech) for the "DMREF/Collaborative Research: Active Learning-based Material Discovery for 3D Printed Solids with Locally-Tunable Electrical and Mechanical Properties" project. This multi-disciplinary effort aims to establish an active learning approach to rapidly...
This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $361,985 to the University of Wisconsin System to develop predictive mathematical models for manufacturing processes involving complex polymeric materials. The project aims to leverage recent advances in experimental methods and data science to better understand the relationship between the flow and microstructure of these materials, which is critical for applications like printed...
The National Science Foundation (NSF) awarded a $485,000 Project Grant under the Mathematical and Physical Sciences (MPS) division of the Designing Materials to Revolutionize and Engineer Our Future (DMREF) program (CFDA 47.049) to the University of Wisconsin-Madison. The grant supports collaborative research to use deep learning and theoretical tools to predict and engineer "twistronic" materials - atomically thin two-dimensional materials where the twist angle between layers can be...
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...
The National Science Foundation (NSF) Division of Materials Research awarded a $482,041 Project Grant to the University of California, Santa Barbara (UCSB) under the Mathematical and Physical Sciences program (CFDA 47.049) to conduct collaborative research on elucidating high-temperature deformation mechanisms in refractory multi-principal-element alloys. The research aims to develop a fundamental scientific understanding of the ultrahigh temperature deformation behavior of this new class of...
The National Science Foundation (NSF) awarded a $75,000 Project Grant under the Engineering (CFDA 47.041) program to the University of California, Santa Barbara (UCSB) to support a collaborative research project titled "DMREF: Data-Driven Discovery of the Processing Genome for Heterogeneous Superalloy Microstructures." The project aims to revolutionize the creation of novel engineering alloys by developing a data-driven platform called "DRAGONS" (Data-Driven Recursive...
The National Science Foundation (NSF) awarded a $1,149,379 Project Grant through the Mathematical and Physical Sciences program (CFDA 47.049) to the University of California, Santa Barbara (UCSB) to develop methods and materials for additive manufacturing that enable 3D printing of multi-material objects. The key research objectives are: 1) developing multi-material digital light processing (DLP) resins using machine learning to create patterns with extreme mechanical contrast, 2) creating a...