Toward autonomous laboratories: Convergence of artificial intelligence and experimental automation
The ever-increasing demand for novel materials with superior properties inspires retrofitting
traditional research paradigms in the era of artificial intelligence and automation. An …
traditional research paradigms in the era of artificial intelligence and automation. An …
Machine learning in electron microscopy for advanced nanocharacterization: current developments, available tools and future outlook
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 …
aimed to fix the bottlenecks and overcome the challenges of its analytical workflow. Machine …
Machine learning for optical scanning probe nanoscopy
The ability to perform nanometer‐scale optical imaging and spectroscopy is key to
deciphering the low‐energy effects in quantum materials, as well as vibrational fingerprints …
deciphering the low‐energy effects in quantum materials, as well as vibrational fingerprints …
Autonomous scanning probe microscopy investigations over WS2 and Au{111}
Individual atomic defects in 2D materials impact their macroscopic functionality. Correlating
the interplay is challenging, however, intelligent hyperspectral scanning tunneling …
the interplay is challenging, however, intelligent hyperspectral scanning tunneling …
Understanding heterogeneities in quantum materials
Quantum materials are usually heterogeneous, with structural defects, impurities, surfaces,
edges, interfaces, and disorder. These heterogeneities are sometimes viewed as liabilities …
edges, interfaces, and disorder. These heterogeneities are sometimes viewed as liabilities …
Denoising scanning tunneling microscopy images of graphene with supervised machine learning
Machine learning (ML) methods are extraordinarily successful at denoising photographic
images. The application of such denoising methods to scientific images is, however, often …
images. The application of such denoising methods to scientific images is, however, often …
Electronic structure and topology across in the magnetic Weyl semimetal
Co 3 Sn 2 S 2 is a magnetic Weyl semimetal, in which ferromagnetic ordering at 177 K is
predicted to stabilize Weyl points. We perform temperature and spatial dependent angle …
predicted to stabilize Weyl points. We perform temperature and spatial dependent angle …
Deciphering Alloy Composition in Superconducting Single-Layer FeSe1–xSx on SrTiO3(001) Substrates by Machine Learning of STM/S Data
Scanning tunneling microscopy (STM) is a powerful technique for imaging atomic structure
and inferring information on local elemental composition, chemical bonding, and electronic …
and inferring information on local elemental composition, chemical bonding, and electronic …
Application of XGBoost for fast identification of typical industrial organic waste samples with near-infrared hyperspectral imaging
Waste material identification is an essential part of waste recycling and treatment.
Hyperspectral imaging (HSI) enables fast, accurate, nondestructive, and non-invasive …
Hyperspectral imaging (HSI) enables fast, accurate, nondestructive, and non-invasive …
A Platform for Atomic Fabrication and In Situ Synthesis in a Scanning Transmission Electron Microscope
The engineering of quantum materials requires the development of tools able to address
various synthesis and characterization challenges. These include the establishment and …
various synthesis and characterization challenges. These include the establishment and …