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Total (United States)

United States

14 papers here486 citations across 14
fields
  • math.NA7
  • quant-ph2
  • cs.CY1
  • cs.DC1
  • cs.HC1
  • cs.LG1
  • physics.geo-ph1
ROR 01ajr8702OpenAlex

affiliations via OpenAlex

output
20162023
most citedAccelerating Materials Development via Automation, Machine Learning, and High-Performance Computing

348 citations

researchers with a paper here
  • François P. Hamon3 profiles5 · h 12
  • J. White3 · h 30
  • M. Araya-Polo3 · h 21
  • N. Castelletto3 · h 24
  • Charles Moussa2 · h 7
  • R. Settgast2 · h 20
  • Russell J. Hewett2 · h 19
  • A. Borio1 · h 17
  • A. Celaya1 · h 7
  • A. Price1 · h 8
  • B. Denel1 · h 8
  • Bradley T. Mallison1
collaborating institutions
  • Lawrence Livermore National LaboratoryUS4 papers
  • Rice UniversityUS3 papers
  • Stanford UniversityUS3 papers
  • Lawrence Berkeley National LaboratoryUS2 papers
  • Massachusetts Institute of TechnologyUS2 papers
  • Total (France)FR2 papers
  • Virginia TechUS2 papers
  • Agency for Science, Technology and ResearchSG1 paper
  • Argonne National LaboratoryUS1 paper
  • Center for Nanoscale Materials1 paper
  • Chevron (United States)US1 paper
  • Colorado School of MinesUS1 paper
Showing 2018Show all

1 paper · 1 filter

cs.CY2018★ 348 cited

Accelerating Materials Development via Automation, Machine Learning, and High-Performance Computing

Juan Pablo Correa-Baena, Kedar Hippalgaonkar, Jeroen van Duren +6

Successful materials innovations can transform society. However, materials research often involves long timelines and low success probabilities, dissuading investors who have expec…

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