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researcher

R. J. Gladstone

7 papers hereh-index 6461 citations11 works total

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

author position
  • first author4
  • middle author3

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.LG7

identity via Semantic Scholar / OpenAlex

activity
20212025
most citedEfficient training of physics-informed neural networks via importance sampling

326 citations · 348 across the 7 of their papers we have counts for

collaborators
Showing 2022Show all

1 paper · 1 filter

cs.LG2022★ 13 cited

FO-PINNs: A First-Order formulation for Physics Informed Neural Networks

Rini J. Gladstone, Mohammad A. Nabian, N. Sukumar +2

Physics-Informed Neural Networks (PINNs) are a class of deep learning neural networks that learn the response of a physical system without any simulation data, and only by incorpor…

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