CarNet is an equivariant graph-neural-network framework built on irreducible Cartesian natural tensors that predicts interatomic potentials and high-rank tensorial properties such as the elastic constant tensor.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cond-mat.mtrl-sci 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Atomistic Machine Learning with Irreducible Cartesian Natural Tensors
CarNet is an equivariant graph-neural-network framework built on irreducible Cartesian natural tensors that predicts interatomic potentials and high-rank tensorial properties such as the elastic constant tensor.