Extending Hamiltonian-Adaptive Resolution Simulation to Interfaces: An Updated LAMMPS Implementation and Application to Porous Solids
Hari Haran Sudhakar (1), Alessandra Serva (1, 2), Rocio Semino (1) ((1) Sorbonne Universit\'e, CNRS, Physicochimie des \'Electrolytes et Nanosyst\`emes Interfaciaux, F-75005, Paris, France. (2) R\'eseau sur le Stockage Electrochimique de l'Energie (RS2E), FR CNRS 3459

TL;DR
This paper presents an enhanced LAMMPS implementation of the Hamiltonian-Adaptive Resolution Simulation method, enabling efficient dual-resolution modeling of interfaces and porous materials with fluctuating densities.
Contribution
The authors extend H-AdResS in LAMMPS to support diverse potentials, simplify input preparation, and include density fluctuation capabilities, demonstrated on porous solids and gas adsorption.
Findings
Reproduced water properties accurately with the new implementation.
Structural and dynamic properties remain consistent in dual-resolution simulations.
Increased efficiency in simulating complex interfaces without loss of accuracy.
Abstract
Many natural phenomena involve processes that happen simultaneously at different characteristic length- and timescales. Typically, the region where the process of interest happens is affected by fluctuations in its surroundings. Modeling these systems requires an effective combination of simulation resolutions. The Hamiltonian-Adaptive Resolution Simulation (H-AdResS) method allows to model dual-resolution systems in length- and time-scales compatible with molecular diffusion, by combining atomistic and particle-based coarse graining models in the same simulation box. In this work, a new implementation of H-AdResS is provided in LAMMPS 2023. New features extend the usage to more diverse interaction potentials and simplify the preparation of input files via dedicated lammps input commands, while keeping the efficiency gain of the basis method. The implementation is benchmarked by…
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