Accelerated sampling by infinite swapping of path integral molecular dynamics with surface hopping

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To accelerate the thermal equilibrium sampling of multi-level quantum systems, the infinite swapping limit of a recently proposed multi-level ring polymer representation is investigated. In the infinite swapping limiting, the ring polymer evolves according to an averaged Hamiltonian with respect to all possible surface index configurations of the ring polymer. A multiscale integrator for the infinite swapping limit is also proposed to enable practical sampling based on the limiting dynamics, avoiding the enumeration of all possible surface index configurations, which grows exponentially with respect to the number of beads in the ring polymer. Numerical results demonstrate the huge improvement of sampling efficiency of the infinite swapping compared with the direct simulation of path integral molecular dynamics with surface hopping.







Jianfeng Lu

James B. Duke Distinguished Professor

Jianfeng Lu is an applied mathematician interested in mathematical analysis and algorithm development for problems from computational physics, theoretical chemistry, materials science, machine learning, and other related fields.

More specifically, his current research focuses include:
High dimensional PDEs; generative models and sampling methods; control and reinforcement learning; electronic structure and many body problems; quantum molecular dynamics; multiscale modeling and analysis.

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