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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Computational Electrochemistry and Dielectric Spectroscopy Location Material Measurement
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Development of New Computational Methodologies for Molecular Simulation of Soft Materials
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highly selective chemical separations. Our group is working on a dual-track project to expand this class of materials, and the successful candidate will contribute to either the computational
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[email protected] 303 497 3180 Description Bio-inspired and neuromorphic computing takes inspiration from the brain to find new ways to address computational problems. This project aims to
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, including both physics theory and databases of experimental and computational materials property data. We currently run 10 diverse autonomous platforms including machine learning control of neutron scattering
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substrate specificities, in next-generation computational metabolomics analysis pipelines. Keywords metabolomics; mass spectrometry; neural networks; algorithms; machine learning; cheminformatics
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machine learning systems needed for accelerated science. This research opportunity focuses on developing, evaluating, and applying computational methods for materials characterization and/or
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Technology Laboratory, Applied and Computational Mathematics Division opportunity location 50.77.11.C0797 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers name email
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length scales smoothly and seamlessly.Such a model should be useful for many industrial applications of nanodiamnds. The ultimate objective is to develop a computational/simulation technqiue which can be
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mechanism and the charge transport in thin dielectric films deposited on graphene using a non-contact microwave technique ( https://dx.doi.org/10.1021/acs.jpcb.9b11622 ) and monolayer graphene ( https