De-Qiang Zhang

Bridging the accuracy-speed divide in reactive molecular dynamics with QuantaMind MD

Simulating chemical reactivity remains a central challenge in molecular dynamics, historically constrained by the trade-off between ab initio accuracy and classical efficiency. We present QuantaMind, a machine learning force field (MLFF) framework that attains density functional theory (DFT)–level accuracy, enabling fu...