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researcher

David Sondak

Institute for Applied Computational Science, Harvard University

17 papers hereh-index 13690 citations40 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author5
  • middle author8
  • last author4

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • physics.flu-dyn7
  • cs.LG5
  • physics.comp-ph4
  • cond-mat.soft1
affiliations
  • Institute for Applied Computational Science, Harvard University

identity via Semantic Scholar / OpenAlex

activity
20142025
most citedHamiltonian neural networks for solving equations of motion

117 citations · 378 across the 17 of their papers we have counts for

collaborators
Showing 2018Show all

1 paper · 1 filter

physics.flu-dyn2018★ 16 cited

Deep learning for turbulent channel flow

Rui Fang, David Sondak, Pavlos Protopapas +1

Turbulence modeling is a classical approach to address the multiscale nature of fluid turbulence. Instead of resolving all scales of motion, which is currently mathematically and n…

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