Scanning transmission electron microscopy (STEM) has emerged as a uniquely powerful
tool for structural and functional imaging of materials on the atomic level. Driven by …

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

Heterogeneous catalysis in thermal gas-phase and electrochemical liquid-phase chemical
conversion plays an important role in our modern energy landscape. However, many of the …

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 …

Transmission electron microscopy (TEM) has long been an essential tool for understanding
the structure of materials. Over the past couple of decades, this venerable technique has …

Beam damage caused during acquisition of the highest resolution images is the current
limitation in the vast majority of experiments performed in a scanning transmission electron …