Hamiltonian learning reveals optoelectronic mechanisms across thermodynamic state space in soft semiconductors

Predicting optoelectronic response across thermodynamic state space requires coupling finite-temperature nuclear dynamics to electronic structure at scales where direct first-principles calculations are impractical. Machine-learning force fields and Hamiltonian-learning models provide scalable predi