This $466,735 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports fundamental research to develop an electron beam-activated atomic layer etching (EB-ALE) process for advanced materials manufacturing. The primary objectives are to obtain the required knowledge on the surface chemical and physical aspects of the EB-ALE mechanism, and to enable layer-by-layer etching for critical applications involving complex multi-element materials that are...
This $230,940 federal Project Grant award from the National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation (CFDA 47.041 - Engineering) supports the acquisition of a direct write laser system at Norfolk State University. This state-of-the-art instrumentation will enable precise and accurate micro- and nano-scale patterning of materials, advancing research and education in fields such as materials science, semiconductor technologies, microelectronics, and...
This Project Grant award, provided by the National Science Foundation's Engineering (NSF ENG) program (CFDA 47.041), supports fundamental research to develop a scalable manufacturing method for preparing phase-pure ferroelectric hafnium oxide and hafnium zirconium oxide materials. The $125,152 award to Virginia Polytechnic Institute & State University (Virginia Tech) aims to advance the understanding of how atomic layer deposition process parameters impact amorphous structure and its...
The University of Virginia received a three-year, $432,487 project grant from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering federal grant program (CFDA 47.041). Through this award, the University will conduct fundamental research on the mechanisms of laser-induced modification of nanoparticles in liquid environments. Researchers will develop an advanced computational model to investigate nanoparticle fragmentation and melting...
The National Science Foundation (NSF) awarded a $369,202 Project Grant from the Engineering Program (CFDA 47.041) to Virginia Polytechnic Institute & State University (Virginia Tech) to develop a physics-constrained artificial intelligence (PCAI) framework to promote understanding of how additive manufacturing (AM) process features and defects impact the environmental and mechanical performance of as-built metal components. The 3-year project aims to establish an in-situ process...
Virginia Polytechnic Institute & State University (Virginia Tech) received a $500,000 Project Grant award from the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems on February 1, 2022 to support research titled "CAREER: LOW-LOSS SPINTRONIC DEVICES WITH VERTICALLY ENGINEERED MAGNETS" through January 31, 2027. The award is being used to fund research under the NSF Engineering Program (CFDA 47.041) to develop low-loss spintronic devices...
This $261,670 National Science Foundation (NSF) Engineering research grant (CFDA 47.041) supports a project at the University of New Haven to develop a predictive framework for manufacturing multi-principal element alloy (MPEA) surface coatings using laser deposition. The project aims to advance the understanding of how alloy melt dynamics and rapid cooling during laser processing impact the microstructure and properties of MPEA coatings. The research will integrate computational predictions,...
This National Science Foundation (NSF) Division of Chemical, Bioengineering, Environmental, and Transport Systems Project Grant, under the Engineering (47.041) program, provides $354,541 to Virginia Polytechnic Institute & State University (Virginia Tech) from August 15, 2023 to July 31, 2026. The funding supports research into using multi-frequency ultrasound wave fields to organize and orient particles dispersed in a fluid medium into specific, non-periodic patterns. The research aims to...
This National Science Foundation (NSF) Engineering grant (CFDA 47.041) provides $337,865 to Virginia Polytechnic Institute & State University (Virginia Tech) from September 1, 2024 to August 31, 2027 to conduct foundational research on creating transformative structures and materials with multi-faceted "mechano-intelligence." The project aims to harness the physical reservoir computing power of multi-functional origami as a mechanical neural network, in order to enable essential...
This $499,944 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to develop a new type of high-resolution and high-sensitivity magnetic field microscope. The microscope will combine rare-earth-doped magnetic nanoparticles and dual-comb microscopy techniques to enable imaging of extremely weak magnetic fields at the micrometer scale. This breakthrough technology will support cellular-level studies of magnetic fields in biology and precise...