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researcher

D. Abueidda

3 papers hereh-index 314.7k citations95 works total

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

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CE1

identity via Semantic Scholar / OpenAlex

activity
20192022
most citedA deep learning energy method for hyperelasticity and viscoelasticity

3 citations · 3 across the 1 of their papers we have counts for

collaborators

3 papers

cs.LG2022★ 3 cited

A deep learning energy method for hyperelasticity and viscoelasticity

Diab W. Abueidda, Seid Koric, Rashid Abu Al-Rub +3

The potential energy formulation and deep learning are merged to solve partial differential equations governing the deformation in hyperelastic and viscoelastic materials. The pres…

cs.CE2020

Topology optimization of 2D structures with nonlinearities using deep learning

Diab W. Abueidda, Seid Koric, Nahil A. Sobh

The field of optimal design of linear elastic structures has seen many exciting successes that resulted in new architected materials and structural designs. With the availability o…

cs.LG2019

Prediction and optimization of mechanical properties of composites using convolutional neural networks

Diab W. Abueidda, Mohammad Almasri, Rami Ammourah +3

In this paper, we develop a convolutional neural network model to predict the mechanical properties of a two-dimensional checkerboard composite quantitatively. The checkerboard com…

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