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Intermolecular (United States)

United States

3 papers here366 citations across 3
fields
  • cs.CY1
  • math.CO1
  • physics.chem-ph1
ROR 03grvh841OpenAlex

affiliations via OpenAlex

output
20132024
most citedAccelerating Materials Development via Automation, Machine Learning, and High-Performance Computing

348 citations

researchers with a paper here
  • Cyrus Wadia1 · h 7
  • Ernesto Vallejo1 · h 11
  • G. Panova1 · h 22
  • I. Pak1 · h 34
  • Juan‐Pablo Correa‐Baena1 · h 59
  • J. V. Duren1 · h 9
  • K. Hippalgaonkar1 · h 46
  • Rui Liu1 · h 3
  • Ruiqi Xu1 · h 2
  • S. Guha1 · h 53
  • S. Jaffer1 · h 27
  • S. Zhang1 · h 41
collaborating institutions
  • Agency for Science, Technology and ResearchSG1 paper
  • Argonne National LaboratoryUS1 paper
  • Center for Nanoscale Materials1 paper
  • Colorado School of MinesUS1 paper
  • Institute for Infocomm ResearchSG1 paper
  • Institute of Materials Research and EngineeringSG1 paper
  • Jilin Medical UniversityCN1 paper
  • Jilin UniversityCN1 paper
  • Lawrence Berkeley National LaboratoryUS1 paper
  • Massachusetts Institute of TechnologyUS1 paper
  • Total (United States)US1 paper
  • Universidad Nacional Autónoma de MéxicoMX1 paper
Showing 2018 · cs.CYShow all

1 paper · 2 filters

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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