Electrical double layer and capacitance of TiO2 electrolyte interfaces from first principles simulations
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arXiv
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| Autori principali: | , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866916186057342976 |
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| author | Zhang, Chunyi Andrade, Marcos Calegari Goldsmith, Zachary K. Raman, Abhinav S. Li, Yifan Piaggi, Pablo Wu, Xifan Car, Roberto Selloni, Annabella |
| author_facet | Zhang, Chunyi Andrade, Marcos Calegari Goldsmith, Zachary K. Raman, Abhinav S. Li, Yifan Piaggi, Pablo Wu, Xifan Car, Roberto Selloni, Annabella |
| contents | The electrical double layer (EDL) at aqueous solution-metal oxide interfaces critically affects many fundamental processes in electrochemistry, geology and biology, yet understanding its microscopic structure is challenging for both theory and experiments. Here we employ ab initio-based machine learning potentials including long-range electrostatics in large-scale atomistic simulations of the EDL at the TiO2-electrolyte interface. Our simulations provide a molecular-scale picture of the EDL that demonstrates the limitations of standard mean-field models. We further develop a method to accurately calculate the electrostatic potential drop at the interface. The computed capacitance originating from the adsorbed charges and the potential drop agrees with experiments, supporting the reliability of our description of the EDL. The larger interfacial capacitance of basic relative to acidic solutions originates from the higher affinity of the cations for the oxide surface and gives rise to distinct charging mechanisms on negative and positive surfaces. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_00167 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Electrical double layer and capacitance of TiO2 electrolyte interfaces from first principles simulations Zhang, Chunyi Andrade, Marcos Calegari Goldsmith, Zachary K. Raman, Abhinav S. Li, Yifan Piaggi, Pablo Wu, Xifan Car, Roberto Selloni, Annabella Chemical Physics The electrical double layer (EDL) at aqueous solution-metal oxide interfaces critically affects many fundamental processes in electrochemistry, geology and biology, yet understanding its microscopic structure is challenging for both theory and experiments. Here we employ ab initio-based machine learning potentials including long-range electrostatics in large-scale atomistic simulations of the EDL at the TiO2-electrolyte interface. Our simulations provide a molecular-scale picture of the EDL that demonstrates the limitations of standard mean-field models. We further develop a method to accurately calculate the electrostatic potential drop at the interface. The computed capacitance originating from the adsorbed charges and the potential drop agrees with experiments, supporting the reliability of our description of the EDL. The larger interfacial capacitance of basic relative to acidic solutions originates from the higher affinity of the cations for the oxide surface and gives rise to distinct charging mechanisms on negative and positive surfaces. |
| title | Electrical double layer and capacitance of TiO2 electrolyte interfaces from first principles simulations |
| topic | Chemical Physics |
| url | https://arxiv.org/abs/2404.00167 |