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Forbes Hospital

United States

4 papers here15 citations across 4
fields
  • cond-mat.mtrl-sci1
  • cond-mat.soft1
  • cs.LG1
  • eess.SY1
ROR 05a55tn50OpenAlex

affiliations via OpenAlex

most citedScalar Field Prediction on Meshes Using Interpolated Multi-Resolution Convolutional Neural Networks

6 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.

  • Kaushik Dayal2 · h 26
  • Andrew Gillman1 · h 2
  • Carmel Majidi1 · h 2
  • C. Mora‐Corral1 · h 20
  • Daniel Katusele1 · h 2
  • G. Gazonas1 · h 20
  • James Hardin1 · h 3
  • Kevin Ferguson1 · h 3
  • L. Kara1 · h 34
  • Maryam Hakimzadeh1 · h 3
  • Mikhail Khrenov1
  • Noel Walkington1 · h 4
collaborating institutions
  • Carnegie Mellon UniversityUS4 papers
  • Pasadena City CollegeUS2 papers
  • CECOM Software Engineering CenterUS1 paper
  • DEVCOM Army Research LaboratoryUS1 paper
  • Institute of Mathematical SciencesIN1 paper
  • Johns Hopkins MedicineUS1 paper
  • Johns Hopkins UniversityUS1 paper
  • Johns Hopkins University Applied Physics LaboratoryUS1 paper
  • United States Air Force Research LaboratoryUS1 paper
  • United States Department of the ArmyUS1 paper
  • Universidad Autónoma de MadridES1 paper
  • University of BaltimoreUS1 paper
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2024★ 6 cited

Scalar Field Prediction on Meshes Using Interpolated Multi-Resolution Convolutional Neural Networks

Kevin Ferguson, Andrew Gillman, James Hardin +1

Scalar fields, such as stress or temperature fields, are often calculated in shape optimization and design problems in engineering. For complex problems where shapes have varying t…

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