Journal Article

GSI-2026-00508

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Determining the Potential of Maximum Entropy from Ab Initio Molecular Dynamics

Petersen, A. S. ; Madsen, T. K. ; Sarpey, T. K.GSI* ; Schott, C. M. ; Gubanova, E. L. ; Himmelreich, A. V. ; Bandarenka, A. S. ; Rossmeisl, J. (Corresponding author)

2026
Wiley-VCH Verlag Weinheim

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Please use a persistent id in citations: doi:10.1002/adts.202500958  doi:10.15120/GSI-2026-00508

Abstract: Understanding electrochemical interfaces at the atomic level is essential for optimizing catalytic performance in energy conversion and storage technologies. This study introduces a computational framework based on ab initio molecular dynamics (AIMD) simulations to predict the potential of maximum entropy (PME) a descriptor of electric double layer disorder and charge transfer efficiency. By integrating AIMD with the generalized computational hydrogen electrode, it is systematically investigated how electrolyte composition, cation identity, and pH effect the position of PME. The approach reproduces experimental shifts in PME for Au and Pt electrodes and provides unprecedented insights into the emergence of multiple PME values in mixed-cation systems. The findings challenge conventional models of electrolyte structuring by revealing the presence of multiple PME values within mixed-cation systems. This suggests a more complex interplay between cations, adsorbates, and interfacial disorder than previously assumed. The computational framework developed in this study provides a predictive tool for understanding these interactions, offering new strategies for tuning electrocatalytic activity.

Note: This is an open access article under the terms of the Creative Commons 4 Attribution License

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Contributing Institute(s):

1. Materialforschung (MAT)
2. Collaboration FAIR: MAT (MAT@FAIR)

Research Program(s):

1. 632 - Materials – Quantum, Complex and Functional Materials (POF4-632) (POF4-632)
2. 6G15 - GSI-MML Ion Facilities (POF4-6G15) (POF4-6G15)

Experiment(s):

1. (FAIR Facility)

Appears in the scientific report 2026

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Database coverage:
; ; ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; DEAL Wiley ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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