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researcher

A. Viardin

5 papers hereh-index 10303 citations20 works total

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

author position
  • first author1
  • middle author4

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

fields
  • cs.LG2
  • cond-mat.mtrl-sci1
  • physics.app-ph1
  • physics.comp-ph1

identity via Semantic Scholar / OpenAlex

activity
20192024
most citedA finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains

38 citations · 56 across the 5 of their papers we have counts for

collaborators
Showing 2019Show all

1 paper · 1 filter

physics.app-ph2019★ 1 cited

Theory-training deep neural networks for an alloy solidification benchmark problem

M. Torabi Rad, A. Viardin, G. J. Schmitz +1

Deep neural networks are machine learning tools that are transforming fields ranging from speech recognition to computational medicine. In this study, we extend their application t…

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