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A. Bekar

4 papers hereh-index 8306 citations26 works total

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

author position
  • first author1
  • middle author2
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • physics.comp-ph1
  • physics.flu-dyn1

identity via Semantic Scholar / OpenAlex

activity
20202024
most citedA nonlocal physics-informed deep learning framework using the peridynamic differential operator

146 citations · 163 across the 4 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2021★ 17 cited

Deep learning for solution and inversion of structural mechanics and vibrations

Ehsan Haghighat, Ali Can Bekar, Erdogan Madenci +1

Deep learning has been the most popular machine learning method in the last few years. In this chapter, we present the application of deep learning and physics-informed neural netw…

cs.LG2020★ 146 cited

A nonlocal physics-informed deep learning framework using the peridynamic differential operator

Ehsan Haghighat, Ali Can Bekar, Erdogan Madenci +1

The Physics-Informed Neural Network (PINN) framework introduced recently incorporates physics into deep learning, and offers a promising avenue for the solution of partial differen…

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