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researcher

William M. Tang

3 papers hereh-index 336.7k citations101 works total

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

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • physics.comp-ph1
  • physics.plasm-ph1

identity via Semantic Scholar / OpenAlex

activity
20132020
most citedThe Hamiltonian structure and Euler-Poincaré formulation of the Vlasov-Maxwell and gyrokinetic systems

30 citations · 46 across the 3 of their papers we have counts for

collaborators

3 papers

physics.comp-ph2020★ 3 cited

Fully Convolutional Spatio-Temporal Models for Representation Learning in Plasma Science

Ge Dong, Kyle Gerard Felker, Alexey Svyatkovskiy +2

We have trained a fully convolutional spatio-temporal model for fast and accurate representation learning in the challenging exemplar application area of fusion energy plasma scien…

cs.LG2019★ 13 cited

Training Distributed Deep Recurrent Neural Networks with Mixed Precision on GPU Clusters

Alexey Svyatkovskiy, Julian Kates-Harbeck, William Tang

In this paper, we evaluate training of deep recurrent neural networks with half-precision floats. We implement a distributed, data-parallel, synchronous training algorithm by integ…

physics.plasm-ph2013★ 30 cited

The Hamiltonian structure and Euler-Poincaré formulation of the Vlasov-Maxwell and gyrokinetic systems

J. Squire, H. Qin, W. M. Tang +1

We present a new variational principle for the gyrokinetic system, similar to the Maxwell-Vlasov action presented in Ref. 1. The variational principle is in the Eulerian frame and…

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