Advancements in high-performance computing and machine learning are addressing some of the challenges faced by NMD. Enhanced computational power enables the simulation of larger systems for longer durations, while machine learning techniques are being used to develop more accurate and efficient force fields. Additionally, the integration of NMD with other simulation methods, such as quantum mechanics and coarse-grained modeling, is expanding its applicability.
