Learning atomic forces from uncertainty-calibrated adversarial attacks

Henrique Musseli Cezar, Tilmann Bodenstein, Henrik Andersen Sveinsson +3

Adversarial approaches, which intentionally challenge machine learning models by generating difficult examples, are increasingly being adopted to improve machine learning interatom…