Project Grant 2502667
Award Date
4/15/25
Completion Date
9/30/27
Dollars Obligated
$459K
Federal Agency
Division of Materials Research
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Baltimore, MD 21218, USA
Similar Awards
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 Project Grant under the federal Engineering (CFDA 47.041) program in the amount of $150,000 to the University of Southern California (USC) to develop a data-driven platform named DRAGONS. This platform will utilize machine learning and data science to demystify the complex relationships between material processing conditions and the resulting microstructure of heterogeneous superalloys. The 4-year project aims to engineer advanced material...
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 $150,843 federal Project Grant awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049) aims to establish a framework for ingesting and leveraging multimodal data from materials science experiments to advance large language models (LLMs) for generating hypotheses toward the design of new and superior metallic alloys. The project will build and train enhanced LLMs using high-quality, context-rich metallurgical datasets derived from...
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 $524,534 Project Grant award from the National Science Foundation (NSF) Division of Materials Research funds a collaborative research effort between The Johns Hopkins University and the University of California, Santa Barbara to elucidate high temperature deformation mechanisms in refractory multi-principal-element alloys. The research aims to develop a fundamental scientific understanding of the ultrahigh temperature (up to 1500°C) mechanical behavior of this new class of alloy...
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 $104,060 Project Grant award from the National Science Foundation's (NSF) Division of Materials Research (CFDA 47.049 - Mathematical and Physical Sciences) supports a research and education project at Drexel University to advance the understanding of energy statistics and glide mechanisms of dislocations in concentrated solid-solution alloys. The 5-year project aims to develop a probabilistic framework for describing dislocation behavior in these complex alloys, with the goal of improving...
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 $198,498 Project Grant awarded by the National Science Foundation (NSF) Division of Materials Research under the Mathematical and Physical Sciences program (CFDA 47.049) supports research at Drexel University aimed at developing a data-driven framework to predict synthesis pathways and optimal conditions for producing computationally-designed solid-state inorganic materials. The project will utilize deep learning, computational thermodynamic modeling, and validation experiments to...