Abstract
Proton transport is a multiscale phenomenon critical to chemistry, physics, biology, and materials science, yet development of a high-fidelity multiscale model bridging quantum to mesoscale dynamics remains a major challenge due to reactive bonding rearrangements in the Grotthuss proton shuttling. Here, we present HUMID, a Hydronium Ultra-coarse-grained Model with Improved Dynamics, which enables the investigation of hydrated protons across much larger spatiotemporal scales via bottom-up coarse-graining that recapitulates structure and dynamics at a reduced resolution. The unique structural correlations and dynamics arising from the hydronium cation are captured by introducing internal states to the coarse-grained sites, as derived from quantum mechanics, with a systematic design principle for determining these internal states. HUMID accurately reproduces diffusion and hydronium time correlation functions with a three-order-of-magnitude computational speedup. This model lays a foundation for studying mesoscale phenomena governed by proton transport and establishes design principles for reactive CG models.
Supplementary materials
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Supplementary Information for “Systematic Bottom-Up Coarse-Graining of Hydrated Excess Proton Transport Across Scales”
Description
Supplementary Sections 1-12, Table 1, and Figs. 1-7.
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Title
Movie S1
Description
A simulation trajectory for single proton HUMID simulation in bulk at 298 K. Here, the CG particle entities are determined by the hydronium mapping process, where the most hydronium-like water from the initial condition is represented as a green sphere, while the remaining CG particles in blue exhibit water-like behavior.
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Movie S2
Description
A simulation trajectory for single proton HUMID simulation in (6,6) carbon nanotube at 298 K. The color scheme is the same as in Movie S1, using the hydronium mapping process.
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Supplementary weblinks
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Codes
Description
All the codes developed in this work are publicly available via GitHub at https://github.com/jaehyeokjin/HUMID.
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Simulation trajectories
Description
Simulation trajectories used in this work are publicly available via Zenodo at https://doi.org/10.5281/zenodo.16863477.
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