Machine learning in scanning transmission electron microscopy
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 …
tool for structural and functional imaging of materials on the atomic level. Driven by …
Towards data-driven next-generation transmission electron microscopy
Electron microscopy touches on nearly every aspect of modern life, underpinning materials
development for quantum computing, energy and medicine. We discuss the open, highly …
development for quantum computing, energy and medicine. We discuss the open, highly …
Isolated Cobalt Centers on W18O49 Nanowires Perform as a Reaction Switch for Efficient CO2 Photoreduction
Isolated cobalt atoms have been successfully decorated onto the surface of W18O49
ultrathin nanowires. The Co-atom-decorated W18O49 nanowires (W18O49@ Co) greatly …
ultrathin nanowires. The Co-atom-decorated W18O49 nanowires (W18O49@ Co) greatly …
Electron microscopy studies of soft nanomaterials
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 …
biological) nanomaterials. We will show how developments of both the hardware and …
Hierarchical materials from high information content macromolecular building blocks: construction, dynamic interventions, and prediction
Hierarchical materials that exhibit order over multiple length scales are ubiquitous in nature.
Because hierarchy gives rise to unique properties and functions, many have sought …
Because hierarchy gives rise to unique properties and functions, many have sought …
AtomAI framework for deep learning analysis of image and spectroscopy data in electron and scanning probe microscopy
Over the past several decades, electron and scanning probe microscopes have become
critical components of condensed matter physics, materials science and chemistry research …
critical components of condensed matter physics, materials science and chemistry research …
Machine learning to reveal nanoparticle dynamics from liquid-phase TEM videos
Liquid-phase transmission electron microscopy (TEM) has been recently applied to
materials chemistry to gain fundamental understanding of various reaction and phase …
materials chemistry to gain fundamental understanding of various reaction and phase …
Deep learning analysis on microscopic imaging in materials science
Microscopic imaging providing the real-space information of matter, plays an important role
for understanding the correlations between structure and properties in the field of materials …
for understanding the correlations between structure and properties in the field of materials …
Deep learning in electron microscopy
JM Ede - Machine Learning: Science and Technology, 2021 - iopscience.iop.org
Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …
microscopy. This review paper offers a practical perspective aimed at developers with …
Automated and autonomous experiments in electron and scanning probe microscopy
Machine learning and artificial intelligence (ML/AI) are rapidly becoming an indispensable
part of physics research, with domain applications ranging from theory and materials …
part of physics research, with domain applications ranging from theory and materials …