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researcher

G. Teichert

13 papers hereh-index 11602 citations31 works total

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

author position
  • first author8
  • middle author5

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci4
  • cs.CE2
  • physics.comp-ph2
  • cond-mat.soft1
  • cs.LG1
  • physics.app-ph1

identity via Semantic Scholar / OpenAlex

activity
20162023
most citedMachine learning materials physics: Integrable deep neural networks enable scale bridging by learning free energy functions

113 citations · 268 across the 13 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2020★ 32 cited

Scale bridging materials physics: Active learning workflows and integrable deep neural networks for free energy function representations in alloys

Gregory Teichert, Anirudh Natarajan, Anton Van der Ven +1

The free energy plays a fundamental role in descriptions of many systems in continuum physics. Notably, in multiphysics applications, it encodes thermodynamic coupling between diff…

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