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Matthew Redell

2 papers hereh-index 381 citations8 works total

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cond-mat.str-el1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedCoPhy-PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions for Solving Eigenvalue Problems

10 citations · 10 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2020★ 10 cited

CoPhy-PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions for Solving Eigenvalue Problems

Mohannad Elhamod, Jie Bu, Christopher Singh +5

Physics-guided Neural Networks (PGNNs) represent an emerging class of neural networks that are trained using physics-guided (PG) loss functions (capturing violations in network out…

cond-mat.str-el2016

Resonant Plasmon-Axion Excitations Induced by Charge Density Wave Order in Weyl Semimetal

Matthew D. Redell, Shantanu Mukherjee, Wei-Cheng Lee

We investigate the charge excitations of a Weyl semimetal in the axionic charge density wave (axionic CDW) state. While it has been shown that the topological response (anomalous H…

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