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.