Guillem Simeon

TensorNet: Cartesian Tensor Representations for Efficient Learning of Molecular Potentials

The development of efficient machine learning models for molecular systems representation is becoming crucial in scientific research. We introduce TensorNet, an innovative O(3)-equivariant message-passing neural network architecture that leverages Cartesian tensor representations. By using Cartesian…