Batteries are vital energy storage carriers in industry and in our daily life. There is continued
interest in the developments of batteries with excellent service performance and safety …

Abstract Machine learning (ML) has become critical for post-acquisition data analysis in
(scanning) transmission electron microscopy,(S) TEM, imaging and spectroscopy. An …

Over the past several decades, electron and scanning probe microscopes have become
critical components of condensed matter physics, materials science and chemistry research …

We pose that microscopy offers an ideal real-world experimental environment for the
development and deployment of active Bayesian and reinforcement learning methods …

Experimental science is enabled by the combination of synthesis, imaging, and functional
characterization organized into evolving discovery loop. Synthesis of new material is …

Atomic‐scale engineering typically involves bottom‐up approaches, leveraging parameters
such as temperature, partial pressures, and chemical affinity to promote spontaneous …

From emergent material descriptions to estimation of properties stemming from structures to
optimization of process parameters for achieving best performance–all key facets of …

To accurately capture the dynamic behavior of small nanoparticles in scanning transmission
electron microscopy, high-quality data and advanced data processing is needed. The fast …

The advent of modern, high-speed electron detectors has made the collection of
multidimensional hyperspectral transmission electron microscopy datasets, such as 4D …

Developing methods to understand and control defect formation in nanomaterials offers a
promising route for materials discovery. Monolayer MX 2 phases represent a particularly …