Project Grant W911NF2510268

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...

The University of Massachusetts Lowell will provide collaborative research services under a $312,381 National Science Foundation Project Grant award titled "COLLABORATIVE RESEARCH: DMREF: TRANSFORMING PHOTONICS AND ELECTRONICS WITH DIGITAL ALLOY MATERIALS." The award's period of performance is from October 1, 2021 through September 30, 2025. The research services will advance the NSF's Mathematical and Physical Sciences program (CFDA 47.049), which aims to promote progress in these...

This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences Program (CFDA 47.049) provides $480,000 to establish a collaborative research effort focused on accelerating the discovery of lead-free perovskite nanomaterials. The project aims to integrate high-throughput experimentation, artificial intelligence, and distributed self-driving laboratories across multiple institutions to drastically shorten the timeline for discovering new semiconductor...

The National Science Foundation Division of Materials Research awarded $320,000 under the Mathematical and Physical Sciences program (CFDA 47.049) to the Massachusetts Institute of Technology for a collaborative research project on combinatorial solution processing of optical phase change materials. The researchers will develop a high-throughput synthesis and characterization paradigm for accelerated discovery and customization of multi-component phase change alloy thin films tailored for...

This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program provides $400,000 to Drexel University to accelerate the development of new inorganic materials for emerging energy, optoelectronic, and biomedical applications. The research aims to bridge the gap between computational materials design and practical laboratory synthesis through a feedback loop of computational predictions and real-time characterization of material...

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's (NSF) Mathematical and Physical Sciences Program (CFDA 47.049) provides funding to researchers at the University of Illinois at Chicago and the University of Texas at Austin to conduct collaborative research on the discovery of multivalent solid electrolytes. The key products and services to be delivered through this $344,454 grant, awarded on September 1, 2025, are: The research teams will utilize a feedback loop of advanced...

This Project Grant award of $274,919 from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of a new class of high-performance composite materials made from aluminum and carbon fiber. The key focus is on improving the interface between the metal and carbon fiber phases to create a low-defect, high-strength material with enhanced mechanical properties. The research aims to elucidate the microstructural evolution and...

This $250,000 National Science Foundation project grant will support research at the University of Massachusetts Boston and the University of California-Santa Barbara to advance machine learning techniques for predicting the behavior of dynamic materials. Jason Green of UMass Boston and Igor Mezic of UC Santa Barbara will combine machine learning and physical theory methods to create new approaches for designing functional materials with tailored optical, mechanical, or photonic properties on...

The Massachusetts Institute of Technology (MIT) received a $560,000 Project Grant award from the National Science Foundation (NSF) to support research titled "COLLABORATIVE RESEARCH: DMREF: SYMMETRY-GUIDED MACHINE LEARNING FOR THE DISCOVERY OF TOPOLOGICAL PHONONIC MATERIALS." The award period runs from October 1, 2021 through September 30, 2025. Under the NSF's Mathematical and Physical Sciences program (CFDA 47.049), which aims to promote progress in these scientific fields and...