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S. Nair

5 papers hereh-index 6134 citations18 works total

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

author position
  • first author4
  • middle author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • physics.comp-ph3
  • cs.CE1
  • cs.LG1
same name
  • S. Nair — 39 papers, h 16
  • S. Nair — 8 papers, h 13
  • S. Nair — 6 papers, h 11
  • S. Nair — 5 papers, h 24
  • S. Nair — 4 papers, h 14
  • S. Nair — 4 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232025
most citedGRIDS-Net: Inverse shape design and identification of scatterers via geometric regularization and physics-embedded deep learning

21 citations · 38 across the 5 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

cs.CE2024

Time transient Simulations via Finite Element Network Analysis: Theoretical Formulation and Numerical Validation

Mehdi Jokar, Siddharth Nair, Fabio Semperlotti

This paper extends the finite element network analysis (FENA) to include a dynamic time-transient formulation. FENA was initially formulated in the context of the linear static ana…

cs.LG2024★ 3 cited

Physics and geometry informed neural operator network with application to acoustic scattering

Siddharth Nair, Timothy F. Walsh, Greg Pickrell +1

In this paper, we introduce a physics and geometry informed neural operator network with application to the forward simulation of acoustic scattering. The development of geometry i…

physics.comp-ph2024★ 14 cited

Multiple scattering simulation via physics-informed neural networks

Siddharth Nair, Timothy F. Walsh, Greg Pickrell +1

This work presents a physics-driven machine learning framework for the simulation of acoustic scattering problems. The proposed framework relies on a physics-informed neural networ…

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