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Youngsoo Choi

27 papers hereh-index 252k citations69 works total

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

author position
  • first author5
  • middle author16
  • last author5

Across the 26 of 27 papers where every author was matched, so the position is known.

fields
  • math.NA19
  • cs.CE2
  • cs.LG2
  • physics.flu-dyn2
  • eess.SY1
  • physics.comp-ph1
same name
  • Youngsoo Choi — 11 papers, h 4
  • Youngsoo Choi — 8 papers, h 5
  • Youngsoo Choi — 8 papers, h 4
  • Youngsoo Choi — 6 papers, h 3
  • Youngsoo Choi — 4 papers, h 2
  • Youngsoo Choi — 3 papers, h 1

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
20132023
most citedA fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder

208 citations · 894 across the 25 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

cs.CE2023★ 34 cited

GPLaSDI: Gaussian Process-based Interpretable Latent Space Dynamics Identification through Deep Autoencoder

Christophe Bonneville, Youngsoo Choi, Debojyoti Ghosh +1

Numerically solving partial differential equations (PDEs) can be challenging and computationally expensive. This has led to the development of reduced-order models (ROMs) that are…

physics.comp-ph2023★ 3 cited

Data-scarce surrogate modeling of shock-induced pore collapse process

Siu Wun Cheung, Youngsoo Choi, H. Keo Springer +1

Understanding the mechanisms of shock-induced pore collapse is of great interest in various disciplines in sciences and engineering, including materials science, biological science…

math.NA2023★ 29 cited

A fast and accurate domain-decomposition nonlinear manifold reduced order model

Alejandro N. Diaz, Youngsoo Choi, Matthias Heinkenschloss

This paper integrates nonlinear-manifold reduced order models (NM-ROMs) with domain decomposition (DD). NM-ROMs approximate the full order model (FOM) state in a nonlinear-manifold…

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