Correlative Scanning Electrochemical Cell Microscopy for Local Probing of Electrode Materials and Interfaces
Daniel Martín-Yerga a
a Department of Chemistry and Materials Science, School of Chemical Engineering, Aalto University, FI-00076 Aalto, Finland
Proceedings of MATSUS Spring 2026 Conference (MATSUSSpring26)
G6 Operando and Correlative Characterization of Sustainable Materials and Interfaces
Barcelona, Spain, 2026 March 23rd - 27th
Organizers: Florian Hausen and Svetlana Menkin
Invited Speaker, Daniel Martín-Yerga, presentation 082
Publication date: 15th December 2025

Understanding how local physicochemical properties govern electrochemical activity remains a central challenge in the development of next-generation energy technologies. Many structure-function relationships at the nano- and microscales, especially those dictating performance and stability, are still unresolved, in part due to the lack of high-throughput techniques with sufficient spatial, temporal, and chemical sensitivity.

In this talk, I will demonstrate how correlative scanning electrochemical cell microscopy (SECCM) provides a powerful route to uncover these hidden relationships. SECCM delivers high-throughput, spatially resolved electrochemical measurements that can be directly correlated with structural and compositional information from co-located high-resolution microscopy and spectroscopy. This multi-microscopy approach enables identification of nanoscale heterogeneities, visualization of dynamic interfacial transformations, and quantitative mapping of local electrochemical reactivity. By leveraging automated and combinatorial SECCM workflows, we can accelerate mechanistic insights and guide the rational design of functional electrode materials. I will illustrate the versatility of this approach through three case studies: (i) electrocatalytic structure-activity mapping,[1] (ii) nanoscale investigation of solid-electrolyte interphase formation in Li-ion battery materials,[2-3] and (iii) probing Li metal plating and stripping processes.[4] Together, these examples highlight how correlative SECCM establishes new paradigms for probing, visualizing, and understanding electrochemical interfaces, and how it can drive faster development of optimized materials.

I would like to thank everyone who has contributed to my work in this area, particularly, Prof. Pat Unwin and Dr. Xiangdong Xu from University of Warwick (UK). Funding from Research Council of Finland (no. 355569) and NordForsk (no. 181659) is gratefully acknowledged.

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