Polarons in materials
Polarons are quasiparticles that easily form in polarizable materials due to the coupling of
excess electrons or holes with ionic vibrations. These quasiparticles manifest themselves in …
excess electrons or holes with ionic vibrations. These quasiparticles manifest themselves in …
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 …
Materials informatics: From the atomic-level to the continuum
In recent years materials informatics, which is the application of data science to problems in
materials science and engineering, has emerged as a powerful tool for materials discovery …
materials science and engineering, has emerged as a powerful tool for materials discovery …
Deep learning analysis of defect and phase evolution during electron beam-induced transformations in WS2
Recent advances in scanning transmission electron microscopy (STEM) allow the real-time
visualization of solid-state transformations in materials, including those induced by an …
visualization of solid-state transformations in materials, including those induced by an …
Mapping mesoscopic phase evolution during E-beam induced transformations via deep learning of atomically resolved images
RK Vasudevan, N Laanait, EM Ferragut… - npj Computational …, 2018 - nature.com
Understanding transformations under electron beam irradiation requires mapping the
structural phases and their evolution in real time. To date, this has mostly been a manual …
structural phases and their evolution in real time. To date, this has mostly been a manual …
Toward electrochemical studies on the nanometer and atomic scales: Progress, challenges, and opportunities
Electrochemical reactions and ionic transport underpin the operation of a broad range of
devices and applications, from energy storage and conversion to information technologies …
devices and applications, from energy storage and conversion to information technologies …
A self-driving microscope and the Atomic Forge
MATERIAL MATTERS OPINION atomic motion demonstrated in a scanning tunneling
microscope by Eigler, 16–19 which ignited the field of nanotechnology. However, the range …
microscope by Eigler, 16–19 which ignited the field of nanotechnology. However, the range …
Integration of Scanning Probe Microscope with High-Performance Computing: fixed-policy and reward-driven workflows implementation
The rapid development of computation power and machine learning algorithms has paved
the way for automating scientific discovery with a scanning probe microscope (SPM). The …
the way for automating scientific discovery with a scanning probe microscope (SPM). The …
A lightweight particle detection algorithm based on an improved YOLOv8
B Wang, P Liu, H Tian, H Ren, Y Cao, S Li… - Journal of Physics …, 2024 - iopscience.iop.org
A method for lightweight grain detection under transmission electron microscopy is
proposed to address the issues of inadequate detection accuracy, slow speed, and high …
proposed to address the issues of inadequate detection accuracy, slow speed, and high …
Artificial Intelligence in Materials Science: Applications of Machine Learning to Extraction of Physically Meaningful Information from Atomic Resolution Microscopy …
AB Maksov - 2018 - trace.tennessee.edu
Materials science is the cornerstone for technological development of the modern world that
has been largely shaped by the advances in fabrication of semiconductor materials and …
has been largely shaped by the advances in fabrication of semiconductor materials and …