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researcher

S. Chakraborty

42 papers hereh-index 334.2k citations109 works total

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

author position
  • sole author2
  • first author2
  • middle author11
  • last author25

Across the 40 of 42 papers where every author was matched, so the position is known.

fields
  • stat.ML20
  • cs.LG5
  • math.NA3
  • cond-mat.mtrl-sci2
  • physics.comp-ph2
  • stat.AP2
same name
  • S. Chakraborty — 224 papers, h 30
  • S. Chakraborty — 108 papers, h 33
  • S. Chakraborty — 85 papers, h 59
  • S. Chakraborty — 61 papers, h 18
  • S. Chakraborty — 41 papers, h 23
  • S. Chakraborty — 35 papers, h 14

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
20192024
most citedTransfer learning based multi-fidelity physics informed deep neural network

242 citations · 629 across the 42 of their papers we have counts for

collaborators
Showing 2019Show all

3 papers · 1 filter

stat.ML2019★ 2 cited

Transfer learning enhanced physics informed neural network for phase-field modeling of fracture

Somdatta Goswami, Cosmin Anitescu, Souvik Chakraborty +1

We present a new physics informed neural network (PINN) algorithm for solving brittle fracture problems. While most of the PINN algorithms available in the literature minimize the…

math.NA2019

Threshold shift method for reliability-based design optimization

Somdatta Goswami, Souvik Chakraborty, Rajib Chowdhury +1

We present a novel approach, referred to as the 'threshold shift method' (TSM), for reliability based design optimization (RBDO). The proposed approach is similar in spirit with th…

cs.LG2019★ 124 cited

A Gaussian process latent force model for joint input-state estimation in linear structural systems

Rajdip Nayek, Souvik Chakraborty, Sriram Narasimhan

The problem of combined state and input estimation of linear structural systems based on measured responses and a priori knowledge of structural model is considered. A novel method…

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