Hydroxide Mobility in Aqueous Systems: Ab Initio Accuracy with Millisecond Timescales
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| Main Authors: | , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866913783514923008 |
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| author | Hänseroth, Jonas Sebastiani, Daniel Scholl, Jakob Skadell, Karl Dreßler, Christian |
| author_facet | Hänseroth, Jonas Sebastiani, Daniel Scholl, Jakob Skadell, Karl Dreßler, Christian |
| contents | We present a multiscale simulation approach for hydroxide transport in aqueous solutions of potassium hydroxide, combining ab initio molecular dynamics (AIMD) simulations with force field ensemble averaging and lattice Monte Carlo techniques. This method achieves near ab initio accuracy by capturing the femtosecond scale dielectric relaxation dynamics of the aqueous hydrogen bonding network, while extending the simulation capability to millisecond diffusion timescales. This extraordinary extension of the available length and time scales enables future studies of hydroxide mobility in functional materials such as nanostructured anion-exchange membranes, where hydroxide ions migrate through nanometer-sized channels. Remarkably, our approach demonstrates that a single AIMD trajectory is sufficient to predict hydroxide conductivity over a range of concentrations, underscoring its computational efficiency and relevance to the design of advanced energy materials. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_06177 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Hydroxide Mobility in Aqueous Systems: Ab Initio Accuracy with Millisecond Timescales Hänseroth, Jonas Sebastiani, Daniel Scholl, Jakob Skadell, Karl Dreßler, Christian Computational Physics Materials Science Chemical Physics We present a multiscale simulation approach for hydroxide transport in aqueous solutions of potassium hydroxide, combining ab initio molecular dynamics (AIMD) simulations with force field ensemble averaging and lattice Monte Carlo techniques. This method achieves near ab initio accuracy by capturing the femtosecond scale dielectric relaxation dynamics of the aqueous hydrogen bonding network, while extending the simulation capability to millisecond diffusion timescales. This extraordinary extension of the available length and time scales enables future studies of hydroxide mobility in functional materials such as nanostructured anion-exchange membranes, where hydroxide ions migrate through nanometer-sized channels. Remarkably, our approach demonstrates that a single AIMD trajectory is sufficient to predict hydroxide conductivity over a range of concentrations, underscoring its computational efficiency and relevance to the design of advanced energy materials. |
| title | Hydroxide Mobility in Aqueous Systems: Ab Initio Accuracy with Millisecond Timescales |
| topic | Computational Physics Materials Science Chemical Physics |
| url | https://arxiv.org/abs/2504.06177 |