◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

S. Goswami

30 papers hereh-index 275.7k citations48 works total

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

author position
  • first author8
  • middle author19

Across the 27 of 30 papers where every author was matched, so the position is known.

fields
  • cs.LG14
  • math.NA3
  • physics.comp-ph3
  • cs.CE2
  • stat.ML2
  • cond-mat.mtrl-sci1
same name
  • S. Goswami — 253 papers
  • S. Goswami — 163 papers, h 28
  • S. Goswami — 148 papers, h 42
  • S. Goswami — 42 papers, h 21
  • S. Goswami — 23 papers, h 8
  • S. Goswami — 17 papers, h 16

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
20192026
most citedAn Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications

2.1k citations · 2.9k across the 29 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

math.NA2021★ 1 cited

A robust monolithic solver for phase-field fracture integrated with fracture energy based arc-length method and under-relaxation

Ritukesh Bharali, Somdatta Goswami, Cosmin Anitescu +1

The phase-field fracture free-energy functional is non-convex with respect to the displacement and the phase field. This results in a poor performance of the conventional monolithi…

physics.comp-ph2021★ 28 cited

A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data

Lu Lu, Xuhui Meng, Shengze Cai +4

Neural operators can learn nonlinear mappings between function spaces and offer a new simulation paradigm for real-time prediction of complex dynamics for realistic diverse applica…

cs.LG2021★ 427 cited

A physics-informed variational DeepONet for predicting the crack path in brittle materials

Somdatta Goswami, Minglang Yin, Yue Yu +1

Failure trajectories, identifying the probable failure zones, and damage statistics are some of the key quantities of relevance in brittle fracture applications. High-fidelity nume…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.