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Updated: Aug 8, 2025

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
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Understanding Electron Transfer Reactions Using Constrained Density Functional Theory: Complications Due to Surface
Arsalan Hashemi1, Pekka Peljo2, Kari Laasonen1
1Research Group of Computational Chemistry, Department of Chemistry and Materials Science, Aalto University, FI-00076 Aalto, Finland.
This study introduces a computational method to predict electron transfer rates in flow batteries. It combines constrained density functional theory (CDFT) and ab initio molecular dynamics (AIMD) for accurate energy storage predictions.
Area of Science:
- Electrochemistry
- Computational Chemistry
- Materials Science
Background:
- Electrochemical reaction kinetics are vital for flow battery performance.
- Efficient electron transfer between electrolyte molecules and electrodes is critical.
Purpose of the Study:
- Develop a systematic, atomic-level computational protocol to study electron transfer.
- Enable realistic predictions of electron transfer kinetics for energy storage applications.
Main Methods:
- Constrained density functional theory (CDFT) to localize electrons.
- Ab initio molecular dynamics (AIMD) to simulate atomic movement.
- Marcus theory combined with CDFT-AIMD to compute electron transfer parameters.
Main Results:
- Modeled electron transfer between graphene electrodes and various organic electrolyte molecules.
- Demonstrated a protocol for calculating electron transfer rates at the atomic level.
- Identified challenges in evaluating outer-sphere electron transfer due to strong electrode-molecule interactions.
Conclusions:
- The developed CDFT-AIMD protocol provides a pathway for accurate prediction of electron transfer kinetics.
- This approach is crucial for designing and optimizing advanced energy storage systems.
- Further refinement is needed to fully address outer-sphere electron transfer mechanisms.
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