Vicente Rafael A, Neckel Itamar T, Sankaranarayanan Subramanian K R S, Solla-Gullon José, Fernández Pablo S
Chemistry Institute, State University of Campinas, 13083-970 Campinas, São Paulo, Brazil.
Center for Innovation on New Energies, University of Campinas, 13083-841 Campinas, São Paulo, Brazil.
ACS Nano. 2021 Apr 27;15(4):6129-6146. doi: 10.1021/acsnano.1c01080. Epub 2021 Apr 1.
Electrocatalysis is at the heart of a broad range of physicochemical applications that play an important role in the present and future of a sustainable economy. Among the myriad of different electrocatalysts used in this field, nanomaterials are of ubiquitous importance. An increased surface area/volume ratio compared to bulk makes nanoscale catalysts the preferred choice to perform electrocatalytic reactions. Bragg coherent diffraction imaging (BCDI) was introduced in 2006 and since has been applied to obtain 3D images of crystalline nanomaterials. BCDI provides information about the displacement field, which is directly related to strain. Lattice strain in the catalysts impacts their electronic configuration and, consequently, their binding energy with reaction intermediates. Even though there have been significant improvements since its birth, the fact that the experiments can only be performed at synchrotron facilities and its relatively low resolution to date (∼10 nm spatial resolution) have prevented the popularization of this technique. Herein, we will briefly describe the fundamentals of the technique, including the electrocatalysis relevant information that we can extract from it. Subsequently, we review some of the computational experiments that complement the BCDI data for enhanced information extraction and improved understanding of the underlying nanoscale electrocatalytic processes. We next highlight success stories of BCDI applied to different electrochemical systems and in heterogeneous catalysis to show how the technique can contribute to future studies in electrocatalysis. Finally, we outline current challenges in spatiotemporal resolution limits of BCDI and provide our perspectives on recent developments in synchrotron facilities as well as the role of machine learning and artificial intelligence in addressing them.
电催化是众多物理化学应用的核心,这些应用在可持续经济的当下和未来发挥着重要作用。在该领域使用的众多不同电催化剂中,纳米材料具有普遍重要性。与块体材料相比,纳米级催化剂具有更高的表面积/体积比,这使其成为进行电催化反应的首选。布拉格相干衍射成像(BCDI)于2006年被引入,自那时起已被用于获取晶体纳米材料的三维图像。BCDI提供有关位移场的信息,该位移场与应变直接相关。催化剂中的晶格应变会影响其电子构型,进而影响其与反应中间体的结合能。尽管自其诞生以来已有显著改进,但实验只能在同步加速器设施上进行这一事实以及其目前相对较低的分辨率(约10纳米空间分辨率)阻碍了该技术的普及。在此,我们将简要描述该技术的基本原理,包括我们可以从中提取的与电催化相关的信息。随后,我们回顾一些计算实验,这些实验补充了BCDI数据,以增强信息提取并更好地理解潜在的纳米级电催化过程。接下来,我们重点介绍BCDI应用于不同电化学系统和多相催化的成功案例,以展示该技术如何有助于电催化的未来研究。最后,我们概述了BCDI在时空分辨率限制方面目前面临的挑战,并就同步加速器设施的最新发展以及机器学习和人工智能在解决这些挑战中的作用提供我们的观点。