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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Methods and Applications in Ab Initio Thermochemistry Location Material Measurement
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Neuromorphic Computing and Artificial Intelligence Hardware Location Physical Measurement
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Devices, Circuits and Architectures for Neuromorphic Computing Location Physical Measurement
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST High-performance Computing and Data Visualization for the NIST Fire Dynamics Simulator
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@nist.gov 303.497.3266 Description We are developing high order integral equation methods and numerical tools for computational electromagnetics. This research focuses on the frequency domain
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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
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comparability among the various techniques for numerical approximation through optimization algorithms is very important. What makes one formulation for the solution of a problem more desirable than another
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reviews. Advisers name email phone Bruce Ravel [email protected] 631.344.3613 Description Develop methods of applying machine learning and artificial intelligence to synchrotron experimentation
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an autonomous platform for developing and 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
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improve test methods used to assess the long-term health and performance of FRP/concrete in structural applications. Specific research areas include (1) accelerated laboratory testing of FRP/concrete