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Material Measurement Laboratory

United States

149 papers here9.7k citations across 149
fields
  • cond-mat.mtrl-sci87
  • physics.chem-ph9
  • physics.optics9
  • cond-mat.mes-hall7
  • physics.app-ph6
  • physics.ins-det6
  • cond-mat.str-el5
  • physics.atom-ph5
ROR 04a0y3b96OpenAlex

affiliations via OpenAlex

output
20102026
most citedRecent Advances and Applications of Deep Learning Methods in Materials Science

1.2k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

  • Brian L. DeCost16 · h 22
  • K. Garrity16 · h 33
  • K. Choudhary15 · h 26
  • J. Vinson10 · h 21
  • J. Hattrick-Simpers9 · h 32
  • A. Davydov7 · h 47
  • A. Fleisher7 · h 21
  • F. Tavazza7 · h 35
  • C. Weiland2 profiles6 · h 18
  • D. Wines6 · h 14
  • E. Cockayne6 · h 26
  • Kathleen A. Schwarz6 · h 20
collaborating institutions
  • National Institute of Standards and TechnologyUS134 papers
  • University of Maryland, College ParkUS31 papers
  • Physical Measurement LaboratoryUS30 papers
  • Theiss ResearchUS19 papers
  • Joint Quantum InstituteUS12 papers
  • Northwestern UniversityUS12 papers
  • Argonne National LaboratoryUS11 papers
  • NIST Center for Neutron ResearchUS11 papers
  • Lawrence Berkeley National LaboratoryUS9 papers
  • SLAC National Accelerator LaboratoryUS9 papers
  • Princeton UniversityUS8 papers
  • University of TorontoCA8 papers
Showing 2021 · physics.app-phShow all

1 paper · 2 filters

physics.app-ph2021★ 10 cited

Demonstration of a laser powder bed fusion combinatorial sample for high-throughput microstructure and indentation characterization

Jordan S. Weaver, Adam L. Pintar, Carlos Beauchamp +3

High-throughput experiments that use combinatorial samples with rapid measurements can be used to provide process-structure-property information at reduced time, cost, and effort.…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.