Probing atomic-scale symmetry breaking by rotationally invariant machine learning of multidimensional electron scattering Journal May, 2021
Study of Anharmonicity in Zirconium Hydrides Using Inelastic Neutron Scattering and Ab-Initio Computer Modeling Journal April, 2021
Exploring order parameters and dynamic processes in disordered systems via variational autoencoders Journal April, 2021
Disentangling Rotational Dynamics and Ordering Transitions in a System of Self-Organizing Protein Nanorods via Rotationally Invariant Latent Representations Journal April, 2021
Pairing correlations in the cuprates: A numerical study of the three-band Hubbard model Journal April, 2021
Separating Physically Distinct Mechanisms in Complex Infrared Plasmonic Nanostructures via Machine Learning Enhanced Electron Energy Loss Spectroscopy Journal April, 2021
Investigating phase transitions from local crystallographic analysis based on statistical learning of atomic environments in 2D MoS 2 -ReS 2 Journal March, 2021
Density-Functional Tight-Binding Parameters for Bulk Zirconium: A Case Study for Repulsive Potentials Journal March, 2021
