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Exploit sparse derivative structure to slash AD passes for Jacobians and Hessians, offering drop-in replacements for JAX users.
This work explains how to compute the sparsity pattern for MLIP derivatives and demonstrates that, for multiple foundation MLIPs, ASD computes full Hessians of large porous materials exactly, but with modest speedups at best.
