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heat pumps operations, controls, and fault detection and diagnostics. References Pertzborn, A.J. (2022) ‘Implementation of Structured Reinforcement Learning for Supply Air Temperature Control
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is to measure to high accuracy the SI-traceable spectral energy distribution over the visible and near infrared wavelength range for a set of stars for use as flux standards for astronomy. In
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process control applications in the nanomanufacturing and semiconductor industries. Our research focuses on the miniaturization of SPM sensing mechanisms (e.g., active cantilevers), high-speed MEMS scanning
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results. We are also pursuing advanced data analysis techniques and development of neutron instrumentation and sample environments in support of autonomous experimentation and high-throughput measurement
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memory, batteries, catalysts, flexible devices, alternate computing paradigms, and quantum phenomena. In order to take advantage of the promising properties of these heterogeneous systems, holistic study
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conditions. NIST Boulder has one of the few facilities in the world capable of in situ testing in a high-pressure gaseous environment. The equipment also has a great deal of flexibility in the types
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RAP opportunity at National Institute of Standards and Technology NIST Mathematical Modeling and Simulation Location Information Technology Laboratory, Applied and Computational Mathematics
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Division, where we develop instrumentation beyond the state of the art. Our research program offers a supportive, highly-multidisciplinary environment coupled with outstanding experimental resources
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the existence of underlying physics. This project seeks to incorporate physical laws and domain knowledge into machine learning to improve performance with regards to small datasets, extrapolation and
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NIST only participates in the February and August reviews. This program involves multimodal imaging techniques that use magnetic resonance imaging (MRI) as either a base or as a complimentary