/tools/lamp
snap-stanford/lamp
LAMP is a deep learning-based surrogate model designed for controllable adaptive simulations in multi-resolution physics. It optimizes computational costs while improving prediction accuracy, making it applicable for molecular simulations and related computational chemistry tasks.
[ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
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