Bayesian active learning for scanning probe microscopy: From Gaussian processes to hypothesis learning
Recent progress in machine learning methods and the emerging availability of
programmable interfaces for scanning probe microscopes (SPMs) have propelled …
programmable interfaces for scanning probe microscopes (SPMs) have propelled …
Electrochemical imaging of interfaces in energy storage via scanning probe methods: techniques, applications, and prospects
Developing a deeper understanding of dynamic chemical, electronic, and morphological
changes at interfaces is key to solving practical issues in electrochemical energy storage …
changes at interfaces is key to solving practical issues in electrochemical energy storage …
Experimental discovery of structure–property relationships in ferroelectric materials via active learning
Emergent functionalities of structural and topological defects in ferroelectric materials
underpin an extremely broad spectrum of applications ranging from domain wall electronics …
underpin an extremely broad spectrum of applications ranging from domain wall electronics …
Physics discovery in nanoplasmonic systems via autonomous experiments in scanning transmission electron microscopy
Physics‐driven discovery in an autonomous experiment has emerged as a dream
application of machine learning in physical sciences. Here, this work develops and …
application of machine learning in physical sciences. Here, this work develops and …
Expanding the horizons of machine learning in nanomaterials to chiral nanostructures
V Kuznetsova, Á Coogan, D Botov… - Advanced …, 2024 - Wiley Online Library
Abstract Machine learning holds significant research potential in the field of nanotechnology,
enabling nanomaterial structure and property predictions, facilitating materials design and …
enabling nanomaterial structure and property predictions, facilitating materials design and …
Automated tip functionalization via machine learning in scanning probe microscopy
Auto-CO-AFM is an open-source software package for scanning probe microscopes that
enables the automatic functionalization of scanning probe tips with carbon monoxide …
enables the automatic functionalization of scanning probe tips with carbon monoxide …
Application of self-organizing maps to AFM-based viscoelastic characterization of breast cancer cell mechanics
Cell mechanical properties have been proposed as label free markers for diagnostic
purposes in diseases such as cancer. Cancer cells show altered mechanical phenotypes …
purposes in diseases such as cancer. Cancer cells show altered mechanical phenotypes …
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 …
[HTML][HTML] Scanning probe microscopy in the age of machine learning
MA Rahman Laskar, U Celano - APL Machine Learning, 2023 - pubs.aip.org
Scanning probe microscopy (SPM) has revolutionized our ability to explore the nanoscale
world, enabling the imaging, manipulation, and characterization of materials at the atomic …
world, enabling the imaging, manipulation, and characterization of materials at the atomic …
Learning the right channel in multimodal imaging: automated experiment in piezoresponse force microscopy
We report the development and experimental implementation of the automated experiment
workflows for the identification of the best predictive channel for a phenomenon of interest in …
workflows for the identification of the best predictive channel for a phenomenon of interest in …