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researcher

Diab Abueidda

2 papers here

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CE2
ORCID 0000-0003-3594-2455

identity via Semantic Scholar / OpenAlex

most citedOn the use of graph neural networks and shape-function-based gradient computation in the deep energy method

48 citations · 50 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CE2023★ 2 cited

Gyroid-like metamaterials: Topology optimization and Deep Learning

Asha Viswanath, Diab W Abueidda, Mohamad Modrek +3

Triply periodic minimal surface (TPMS) metamaterials characterized by mathematically-controlled topologies exhibit better mechanical properties compared to uniform structures. The…

cs.CE2022★ 48 cited

On the use of graph neural networks and shape-function-based gradient computation in the deep energy method

Junyan He, Diab Abueidda, Seid Koric +1

A graph neural network (GCN) is employed in the deep energy method (DEM) model to solve the momentum balance equation in 3D for the deformation of linear elastic and hyperelastic m…

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