A high-dimensional neural network potential for finite-temperature phenomena in NiTi martensite
This paper presents a rigorously validated high-dimensional neural network potential trained on DFT data that accurately captures the subtle energetics and anisotropic deformation mechanisms of NiTi martensite, enabling robust finite-temperature molecular dynamics simulations of large-scale systems over nanosecond time scales.