Apolinario Miguel Tan

Representations of Atomic Environments and effects on Body-Ordering and Electrostatics on Machine-Learning Potentials

Machine learning interatomic potentials (MLIPs) achieve DFT-level accuracy by replacing rigid functional forms with neural network architectures that allow for much more effective regression at the cost of less intuitive representations. This thesis explores how representations o...