Tracking Lithium Intercalation in Battery Electrodes via Their Electrochromic Properties Using <i>Operando</i> Ellipsometry

A deep understanding of charge storage mechanisms in lithium-ion battery electrodes is necessary to advance next-generation materials for fast charging and high-power-density applications. Under high-rate conditions, disentangling charge storage contributions (e.g., intercalation, alloying, pseudocapacitance, capacitance, interphase formation, electrolyte degradation, and other processes) is complex, especially for thin film and nanosized materials that typically exhibit surface-dominated behavior. Often overlooked, the electrochromic properties of lithium-ion battery electrodes are innately related to their charge storage properties. In this work, we demonstrate how <i>operando</i> ellipsometry provides detailed insights into charge storage kinetics in battery electrodes. Using a model TiO<sub>2</sub>-anatase thin film, we validate the energy loss function (ELF) derived from the complex dielectric constant as a key indicator for tracking the lithiation state and thus state of charge. Further, we demonstrate that d(ELF)/dV acts as an "opto-voltammogram" that can be used to selectively probe and deconvolute redox reactions, analogous to differential capacity analysis (dQ/dV) or cyclic voltammetry. These findings establish spectroscopic ellipsometry as a powerful technique for optimizing materials in energy storage applications.

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Publication Details

Journal
Journal of the American Chemical Society
Published
2025-10-21
DOI
https://doi.org/10.1021/jacs.5c14539
Citations
2
Primary Topic
Advancements in Battery Materials
Type
article
Field-Weighted Citation Impact
1.46
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article

Tracking Lithium Intercalation in Battery Electrodes via Their Electrochromic Properties Using Operando Ellipsometry

Stefan Guldin, Adam J. Lovett, Máté Füredi, Thomas Samuel Miller et al.
2 citations
Journal of the American Chemical Society
Advancements in Battery Materials
1.46
article

Tracking Lithium Intercalation in Battery Electrodes via Their Electrochromic Properties Using Operando Ellipsometry

Stefan Guldin, Adam J. Lovett, Máté Füredi, Thomas Samuel Miller, Jialin Gu, Thomas R. Dore
article en
2 citations

Abstract

A deep understanding of charge storage mechanisms in lithium-ion battery electrodes is necessary to advance next-generation materials for fast charging and high-power-density applications. Under high-rate conditions, disentangling charge storage contributions (e.g., intercalation, alloying, pseudocapacitance, capacitance, interphase formation, electrolyte degradation, and other processes) is complex, especially for thin film and nanosized materials that typically exhibit surface-dominated behavior. Often overlooked, the electrochromic properties of lithium-ion battery electrodes are innately related to their charge storage properties. In this work, we demonstrate how <i>operando</i> ellipsometry provides detailed insights into charge storage kinetics in battery electrodes. Using a model TiO<sub>2</sub>-anatase thin film, we validate the energy loss function (ELF) derived from the complex dielectric constant as a key indicator for tracking the lithiation state and thus state of charge. Further, we demonstrate that d(ELF)/dV acts as an "opto-voltammogram" that can be used to selectively probe and deconvolute redox reactions, analogous to differential capacity analysis (dQ/dV) or cyclic voltammetry. These findings establish spectroscopic ellipsometry as a powerful technique for optimizing materials in energy storage applications.

Journal of the American Chemical SocietyVol. 147(44)
Advanced Propulsion Centre (GB), The Faraday Institution (GB), Semilab (Hungary) (HU), University College London (GB), Technical University of Munich (DE)
Openalex Percentile: Top 15%
Advancements in Battery Materials
1.46
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Tracking Lithium Intercalation in Battery Electrodes via Their Electrochromic Properties Using <i>Operando</i> Ellipsometry — Stefan Guldin, Adam J. Lovett, et al. · Journal of the American Chemical Society (2025) | TGRS Research Map | TGRS