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Chih-Wei Chang

5 papers hereh-index 262.5k citations92 works total

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

author position
  • first author1
  • middle author2
  • last author1

Across the 4 of 5 papers where every author was matched, so the position is known.

fields
  • physics.flu-dyn2
  • physics.optics2
  • cond-mat.mes-hall1
same name
  • Chih-Wei Chang — 39 papers, h 18
  • Chih-Wei Chang — 3 papers, h 4
  • Chih-Wei Chang — 2 papers, h 5

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
20162020
most citedClassification of Machine Learning Frameworks for Data-Driven Thermal Fluid Models

101 citations · 172 across the 5 of their papers we have counts for

collaborators
Showing 2018Show all

3 papers · 1 filter

cond-mat.mes-hall2018★ 1 cited

Reply to comment "Divergent and Ultrahigh Thermal Conductivity in Millimeter-Long Nanotubes"

Victor Lee, Chi-Hsun Wu, Zong-Xing Lou +2

We regret that PRL did not accept our Reply for publication. We believe that both our Reply and the original paper (Phys. Rev. Lett. 118, 135901 (2017)) is sound and correct. We po…

physics.flu-dyn2018★ 15 cited

Reynolds-Averaged Turbulence Modeling Using Type I and Type II Machine Learning Frameworks with Deep Learning

Chih-Wei Chang, Nam T. Dinh

Deep learning (DL)-based Reynolds stress with its capability to leverage values of large data can be used to close Reynolds-averaged Navier-Stoke (RANS) equations. Type I and Type…

physics.flu-dyn2018★ 101 cited

Classification of Machine Learning Frameworks for Data-Driven Thermal Fluid Models

Chih-Wei Chang, Nam T. Dinh

Thermal fluid processes are inherently multi-physics and multi-scale, involving mass-momentum-energy transport phenomena. Thermal fluid simulation (TFS) is based on solving conserv…

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