12 citations · 13 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials
Ivan Grega, Ilyes Batatia, Gábor Csányi +2
Lattices are architected metamaterials whose properties strongly depend on their geometrical design. The analogy between lattices and graphs enables the use of graph neural network…
cond-mat.mtrl-sci2022★ 12 cited
Predicting deformation mechanisms in architected metamaterials using GNN
Padmeya Prashant Indurkar, Sri Karlapati, Angkur Jyoti Dipanka Shaikeea +1
The present paradigm in design and modelling of lattice architected mechanical metamaterials is mostly limited to traditional numerical methods like finite element analysis. Recent…