Identification of Solid-Electrolyte Interphase Species by Joint Characterization of Li-Ion Battery Chemistry by Mass Spectrometry and Electrochemical Reaction Networks

The formation and stability of the solid-electrolyte interphase (SEI) play central roles in determining the long-term performance and safety of modern electrochemical energy storage systems. Despite decades of research, the SEI's heterogeneous, dynamic, and multiphase nature has defied comprehensive molecular-level characterization, creating a critical knowledge gap that limits rational battery design. In this work, we introduce a computational-experimental framework that integrates high-throughput quantum chemistry calculations, data-driven electrochemical reaction networks (eCRNs), stochastic algorithms, and laser desorption/ionization Fourier transform ion cyclotron resonance mass spectrometry (LDI-FTICR-MS) to unravel SEI formation in carbonate-based electrolytes without imposing predefined mechanisms. We constructed the most comprehensive eCRN to date, spanning over 10,000 species and 209 million reactions. Through stochastic network analysis, we successfully recovered 27 species that were previously reported in the literature and predicted 28 novel SEI species─nearly doubling our scientific knowledge in this area. Each new species was rigorously confirmed through advanced mass spectral analysis of its distinct molecular and isotopic signatures. We kinetically refined the formation pathways for a select set of both previously reported and novel SEI products, revealing kinetically feasible elementary reaction mechanisms with activation barriers below 1 eV. This computational-experimental approach deepens our molecular-level understanding of SEI chemistry by resolving which species form and through which decomposition mechanisms they emerge. Such knowledge provides the foundation necessary to connect electrolyte composition to the resulting SEI components, a critical step toward a more informed electrolyte development in next-generation lithium-based batteries.

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Journal
Journal of the American Chemical Society
Published
2026-04-14
DOI
https://doi.org/10.1021/jacs.6c04755
Primary Topic
Advanced Battery Materials and Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Identification of Solid-Electrolyte Interphase Species by Joint Characterization of Li-Ion Battery Chemistry by Mass Spectrometry and Electrochemical Reaction Networks

Carlos Afonso, Pierre Giusti, Kristin Aslaug Persson, Julien Maillard et al.
Journal of the American Chemical Society
Advanced Battery Materials and Technologies
article

Identification of Solid-Electrolyte Interphase Species by Joint Characterization of Li-Ion Battery Chemistry by Mass Spectrometry and Electrochemical Reaction Networks

Carlos Afonso, Pierre Giusti, Kristin Aslaug Persson, Julien Maillard, Antonin Gajan, Mona Abdelgaid, Germain Salvato Vallverdu, Théo Sombret, Egon Kherchiche, Oliver Hvidsten, Kamila Kazmierczak, Mauricio Araya-Polo, Patrick Bernard
article en

Abstract

The formation and stability of the solid-electrolyte interphase (SEI) play central roles in determining the long-term performance and safety of modern electrochemical energy storage systems. Despite decades of research, the SEI's heterogeneous, dynamic, and multiphase nature has defied comprehensive molecular-level characterization, creating a critical knowledge gap that limits rational battery design. In this work, we introduce a computational-experimental framework that integrates high-throughput quantum chemistry calculations, data-driven electrochemical reaction networks (eCRNs), stochastic algorithms, and laser desorption/ionization Fourier transform ion cyclotron resonance mass spectrometry (LDI-FTICR-MS) to unravel SEI formation in carbonate-based electrolytes without imposing predefined mechanisms. We constructed the most comprehensive eCRN to date, spanning over 10,000 species and 209 million reactions. Through stochastic network analysis, we successfully recovered 27 species that were previously reported in the literature and predicted 28 novel SEI species─nearly doubling our scientific knowledge in this area. Each new species was rigorously confirmed through advanced mass spectral analysis of its distinct molecular and isotopic signatures. We kinetically refined the formation pathways for a select set of both previously reported and novel SEI products, revealing kinetically feasible elementary reaction mechanisms with activation barriers below 1 eV. This computational-experimental approach deepens our molecular-level understanding of SEI chemistry by resolving which species form and through which decomposition mechanisms they emerge. Such knowledge provides the foundation necessary to connect electrolyte composition to the resulting SEI components, a critical step toward a more informed electrolyte development in next-generation lithium-based batteries.

Journal of the American Chemical SocietyVol. 148(16)
Total (France) (FR), Centre National de la Recherche Scientifique (FR), Université de Pau et des Pays de l'Adour (FR), Lawrence Berkeley National Laboratory (US), RTI International (US), Blue Planet (Norway) (NO), Institut des Sciences Analytiques et de Physico-Chimie pour l'Environnement et les Matériaux (FR), Normandie Université (FR), Total (Belgium) (BE), Division of Materials Science and Engineering (AU), Université de Rouen Normandie (FR), Institut National des Sciences Appliquées Rouen Normandie (FR), Saft (France) (FR), University of California, Berkeley (US), Université de Caen Normandie (FR)
U.S. Department of Energy, Total
Openalex Percentile: Top 30%
Advanced Battery Materials and Technologies
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