179 linked-data-"https:"-"https:"-"https:"-"https:"-"https:"-"Princeton" positions at NIST
Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Field
-
(JARVIS) for data-driven materials design" https://www.nature.com/articles/s41524-020-00440-1 2. https://jarvis.nist.gov/ 3. https://www.nist.gov/people/kamal-choudhary Keywords Machine learning
-
STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Data-Driven Technologies for Fluid Property Simulation Location Material Measurement
-
STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Enabling Science from Big Microscopy Image Data Location Information Technology Laboratory
-
STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Engineering Atoms for Fundamental Constants and Atomic Data Location Physical Measurement
-
STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST AI/ML on facility-scale electron microscopy data Location Laboratory Programs, Research Data
-
STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Integrating Data and Computational Tools for Advanced Materials Design Location Material
-
STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Metrology for Needed Nuclear Structure and Radioactive Decay Data Location Physical
-
National Laboratory, June 28, 2013 https://www.osti.gov/servlets/purl/1090008 Frenkel, M.; Dong, Q.; Wilhoit, R. C.; Hall, K. R. TRC SOURCE Database: A Unique Tool for Automatic Production of Data
-
281 0908 Description Community Resilience Metrics The Community Resilience Program ( https://www.nist.gov/community-resilience) is developing science-based tools to assess resilience and support
-
.7.044603 2) " Magnon-phonon hybridization in 2D antiferromagnet MnPSe3 " https://www.science.org/doi/10.1126/sciadv.abj3106 3) " Recent progress in the JARVIS infrastructure for next-generation data-driven