Accurately annotating topological structures (e.g., loops and topologically associating domains) from Hi-C data is critical for understanding the role of 3D genome organization in gene regulation.

Machine learning interatomic potentials (MLIP) are a topic of very active research, promising to bring the high accuracy of electronic structure methods to large space and long time scales previously ...