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researcher

D. Schmidt

5 papers hereh-index 374.3k citations135 works total

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

author position
  • first author2
  • last author3

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • physics.comp-ph4
  • physics.flu-dyn1
same name
  • D. Schmidt — 34 papers, h 37
  • D. Schmidt — 12 papers, h 31
  • D. Schmidt — 9 papers
  • D. Schmidt — 5 papers, h 72
  • D. Schmidt — 4 papers, h 33
  • D. Schmidt — 3 papers, h 20

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182021
most citedTurbulence forecasting via Neural ODE

24 citations · 24 across the 5 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

physics.comp-ph2021

Improved Methods for Mixing-Limited Spray Modeling

Majid Haghshenas, Peetak P. Mitra, Chu Wang +3

The realization that interfacial features play little role in diesel spray vaporization and advection has changed the modus operandi for spray modeling. Lagrangian particle trackin…

physics.comp-ph2021

The Eulerian Lagrangian Mixing-Oriented (ELMO) Model

David P. Schmidt, Majid Haghshenas, Peetak P. Mitra +4

Past Lagrangian/Eulerian modeling has served as a poor match for the mixing limited physics present in many sprays. Though these Lagrangian/Eulerian methods are popular for their l…

physics.comp-ph2021

Network Compression for Machine-Learnt Fluid Simulations

Peetak Mitra, Vaidehi Venkatesan, Nomit Jangid +7

Multi-scale, multi-fidelity numerical simulations form the pillar of scientific applications related to numerically modeling fluids. However, simulating the fluid behavior characte…

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