Pressure-Aware Operando X-ray Methods Reveal True Mechanistic Pathways in Solid-State Batteries
Year: 2026
Type: article
Abstract: High Resolution Image Download MS PowerPoint Slide Operando studies of solid-state batteries (SSBs) must capture device-relevant stack pressure and temperature, since uncontrolled conditions can cause relaxation artifacts and lead to false mechanistic interpretations. To address this, we developed an operando framework for X-ray diffraction (XRD) and X-ray spectroscopy (XAS) with precisely controlled dynamic pressure and temperature, deployable across three platforms: (i) scanning microbeam transmission XRD for spatiotemporal mapping of reaction fronts, state-of-charge gradients, and stress localizations; (ii) coupled transmission XRD–XAS for simultaneous tracking of structural and redox evolution; and (iii) laboratory XRD for real-time monitoring of phase transformations during operation. Validated on sulfide-electrolyte SSBs with Li–In anodes and LiNi 0.8 Mn 0.1 Co 0.1 O 2 (NMC811) or LiCoO 2 (LCO) cathodes, the framework yields consistent high-quality datasets, which reveal cross-sectional lattice-parameter evolution, spatiotemporal changes in stress gradients, and alteration of structural and redox pathways. By enabling pressure-aware operando XRD and XAS characterization, this framework provides a transferable platform and methodology to minimize artifactual interpretations, ensure reproducible benchmarking, and accelerate mechanistic discovery in next-generation solid-state batteries.
Source: ACS Energy Letters
Institutions: Norwegian University of Science and Technology, Austrian Academy of Sciences, Montanuniversität Leoben, Erich Schmid Institute of Materials Science, European Synchrotron Radiation Facility, Helmholtz-Zentrum Hereon, University of Salzburg, AIT Austrian Institute of Technology GmbH, TU Wien
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,500
Funders: Norges Teknisk-Naturvitenskapelige Universitet, Österreichische Nationalstiftung für Forschung, Technologie und Entwicklung, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Norges Forskningsråd, Christian Doppler Forschungsgesellschaft, Bundesministerium für Digitalisierung und Wirtschaftsstandort, Horizon 2020 Framework Programme
OpenAlex ID: W7122808046
