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, P., Wang, J., Li, J. and Cleary, T., 2020. Generating synthetic sensor data to facilitate machine learning paradigm for prediction of building fire hazard. Fire technology, pp.1-22. [2] Wang, J., Tam
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RAP opportunity at National Institute of Standards and Technology NIST Investigating Time-dependent or Transient Structures of Complex Soft Matter Materials Driven by External Stimuli Using
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We develop and utilize state-of-the-art experimental and computational techniques to acquire, evaluate, and correlate thermodynamic data of standard reference quality with a particular emphasis on
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interactions will help as all source code, calculation methods, and results will be made openly available as described below. Processed results will be presented on the NIST Interatomic Potentials Repository
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designs. In addition to fabrication and characterization of these measurement tools, we also develop new readout schemes, signal and data processing, control systems, and biomimetic surfaces to improve
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information regarding this project visit http://www.nist.gov/pml/div683/grp05/dreyes-hernandez.cfm/ . References Quelennec A, Gorman JJ and Reyes DR, Amontons-Coulomb-like slip dynamics in acousto-microfluidics
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. An open resource for accurately benchmarking small variant and reference calls. Nature Biotechnology 2019, 37, 561. Artificial intelligence; Machine learning; Data science; Genomics; Sequencing; Precision
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of products that incorporate billions of nanoscale features. Recent publications report our scatterfield microscopy techniques in which extensive electromagnetic modeling, instrument characterization, and data
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RAP opportunity at National Institute of Standards and Technology NIST Metrology for Faint Photonics Location Physical Measurement Laboratory, Applied Physics Division opportunity location
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will be complemented by computer model simulations using available capabilities based on methods such as density functional theory (DFT). [3] [1] J. Ilavsky, F. Zhang, R.N. Andrews, I. Kuzmenko, P.R