Energy Materials lie at the interface between materials science and electrochemistry and represents one of the most promising approaches for enabling renewable energy technologies to mitigate carbon emissions through the use of hydrogen fuel cells and the electrochemical reduction of CO2. One of the key challenges is understanding how to achieve and sustain electrocatalytic activity under operating conditions for extended time periods, and such fundamental understanding calls for the use of time-resolve nanoscale operando analytical methods [1].

In this presentation, I will introduce our recent progress on developing operando electrochemical liquid-cell scanning transmission electron microscopy (EC-STEM), which simultaneously enables quantitative electrochemistry on microelectrodes and quantitative STEM based imaging, diffraction and spectroscopy [2]. Operando electrochemical 4D-STEM in liquid [3], driven by machine learning [4], has shown great potentials to interrogate complex structures of active sites of energy materials at solid-liquid interfaces. In particular, I will present my latest work on multimodal operando studies of combining EC-STEM and correlative synchrotron based X-ray methods [5, 6] to elucidate the longstanding enigmatic nature of Cu active sites as Cu nanograins for selective CO2 electroreduction (Figure 1) [6, 7].

Multimodal Operando STEM and correlative X-ray methods: The upper left schematic includes a variety of stimuli (temperature, pressure, light, magnetic fields, electrical bias, liquid or gas environment) that may alter (electro)chemical reaction dynamics at solid-liquid interfaces. Figure was adapted from reference [1] (Copyright by the author).
Figure 1

Multimodal Operando STEM and correlative X-ray methods: The upper left schematic includes a variety of stimuli (temperature, pressure, light, magnetic fields, electrical bias, liquid or gas environment) that may alter (electro)chemical reaction dynamics at solid-liquid interfaces. Figure was adapted from reference [1] (Copyright by the author).

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This work was supported by Director, Office of Science, Office of Basic Energy Sciences, Chemical Sciences, Geosciences, & Biosciences Division, of the US Department of Energy under Contract DE-AC02- 05CH11231, FWP CH030201 (Catalysis Research Program). This work also used TEM facilities at the Molecular Foundry was supported by the Office of Science, Office of Basic Energy Sciences, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. Work at Cornell University was supported by the Center for Alkaline-Based Energy Solutions (CABES), an Energy Frontier Research Center (EFRC) program supported by the U.S. Department of Energy, under grant DE-SC0019445. This work made use of TEM facilities at the CCMR which are supported through the National Science Foundation Materials Research Science and Engineering Center (NSF MRSEC) program (DMR-1719875).

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