Towards a fast machine-learning-assisted prediction of the mechanoelectric response in organic crystals

A protocol combining molecular dynamics, density functional theory, machine learning, and kinetic Monte Carlo accurately predicts the dependence of charge mobility on mechanical deformations for organic semiconductors.