This review highlights recent efforts on applying electron microscopy (EM) to soft (including
biological) nanomaterials. We will show how developments of both the hardware and …

The ever-increasing demand for novel materials with superior properties inspires retrofitting
traditional research paradigms in the era of artificial intelligence and automation. An …

Catalysts are the primary facilitator in many dynamic processes. Therefore, a thorough
understanding of these processes has vast implications for a myriad of energy systems. The …

Many material and biological samples in scientific imaging are characterized by nonlocal
repeating structures. These are studied using scanning electron microscopy and electron …

In the last few years, electron microscopy has experienced a new methodological paradigm
aimed to fix the bottlenecks and overcome the challenges of its analytical workflow. Machine …

Electron microscopy allows the extraction of multidimensional spatiotemporally correlated
structural information of diverse materials down to atomic resolution, which is essential for …

Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …

Machine learning and artificial intelligence (ML/AI) are rapidly becoming an indispensable
part of physics research, with domain applications ranging from theory and materials …

Demand for low carbon energy storage has highlighted the importance of imaging
techniques for the characterization of electrode microstructures to determine key parameters …

Conspectus The foreseeable worldwide energy and environmental challenges demand
renewable alternative sources, energy conversion, and storage technologies. Therefore …