Exact Molecular Hessians from Local MLIPs in O(N) Time Using Sparse Differentiation
Materials
Presents a method using sparse differentiation to compute exact molecular Hessians from machine learning interatomic potentials, reducing computational complexity from O(N²) to O(N), overcoming limitations for large atomistic systems.
See LICENSE file molecular dynamicsinteratomic potentialsHessian matrix