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researcher

E. Hofgard

8 papers hereh-index 166.7k citations30 works total

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

author position
  • first author2
  • middle author6

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • physics.flu-dyn3
  • physics.comp-ph1

identity via Semantic Scholar / OpenAlex

works on
machine learning 2equivariance 1fluid dynamics 1large eddy simulation 1neural networks 1nonlocal neural networks 1rotational equivariance 1subgrid-scale modeling 1turbulence 1turbulent flow 1

From the 2 of 8 linked papers with an AI index.

activity
20242026
collaborators
Showing 2025Show all

3 papers · 1 filter

physics.flu-dyn2025

Implicit Augmentation from Distributional Symmetry in Turbulence Super-Resolution

Julia Balla, Jeremiah Bailey, Ali Backour +4

The immense computational cost of simulating turbulence has motivated the use of machine learning approaches for super-resolving turbulent flows. A central challenge is ensuring th…

cs.LG2025

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Xuan Zhang, Limei Wang, Jacob Helwig +60

Advances in artificial intelligence (AI) are fueling a new paradigm of discoveries in natural sciences. Today, AI has started to advance natural sciences by improving, accelerating…

cs.LG2025

Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution

Rui Wang, Elyssa Hofgard, Han Gao +2

Modeling symmetry breaking is essential for understanding the fundamental changes in the behaviors and properties of physical systems, from microscopic particle interactions to mac…

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