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NIST only participates in the February and August reviews. The development of nanomaterials, biomaterials, sensor films, and surface measurement methods require well-defined substrates that vary in
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/ThreeBodyTB.jl), cluster expansion, classical potential development, and machine learning. In addition to work on specific problems, I work on developing new first principles-based modeling approaches, including
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NIST only participates in the February and August reviews. There is a growing need for high-performance materials for various technological applications. To address this need, the NIST-JARVIS (https
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NIST only participates in the February and August reviews. This suite of projects seeks to advance the microbial metabolomics infrastructure through the development of new analytical methods
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, photovoltaic materials, and heavily deformed metals. Lindwall, G., Moon, KW., Williams, M. et al. Development of a Diffusion Mobility Database for Co-Based Superalloys. J. Phase Equilib. Diffus. 43, 931–952
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weakness and vulnerability datasets and multidimensional vulnerability classifications. It also enables the development of new algorithms for code analysis and the use of AI models and formal methods
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Development of Viscosity Prediction Methods Based on Molecular Parameters and Intermolecular Interaction for Organic Compounds NIST only participates in the February and August reviews
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NIST only participates in the February and August reviews. In many application areas, materials development increasingly involves manipulating the local atomic order to optimize properties
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testing novel MOF materials for applications in carbon capture (https://doi.org/10.1016/j.xcrp.2022.101063). Successful candidates must have a background in MOF synthesis and characterization. Special
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systems as well. Unique capabilities in our group include the ability to heat single biomolecules with IR laser light to study T dependent kinetics and thermodynamics relevant to evolution of thermophilic