Maxim Ziatdinov

Deep Learning of Atomically Resolved Scanning Transmission Electron Microscopy Images: Chemical Identification and Tracking Local Transformations

Maxim Ziatdinov, Ondrej Dyck, Artem Maksov et al. · ACS Nano · 2017 · 419 citations · Full text

Natural Sciences, Materials Science, Physics +17

Materials science in the artificial intelligence age: high-throughput library generation, machine learning, and a pathway from correlations to the underpinning physics

Rama K. Vasudevan, Kamal Choudhary, Apurva Mehta et al. · MRS Communications · 2019 · 185 citations

Natural Sciences, Materials Engineering, Materials Science +17

Machine learning in scanning transmission electron microscopy

Sergei V. Kalinin, Colin Ophus, Paul M. Voyles et al. · Nature Reviews Methods Primers · 2022 · 168 citations · Full text

Natural Sciences, Materials Engineering, Materials Science +14

Chemical Robotics Enabled Exploration of Stability in Multicomponent Lead Halide Perovskites via Machine Learning

Kate Higgins, Sai Mani Prudhvi Valleti, Maxim Ziatdinov et al. · ACS Energy Letters · 2020 · 139 citations · Full text

Natural Sciences, Materials Engineering, Materials Science +15

AtomAI framework for deep learning analysis of image and spectroscopy data in electron and scanning probe microscopy

Maxim Ziatdinov, Ayana Ghosh, Chun Yin Wong et al. · Nature Machine Intelligence · 2022 · 123 citations · Full text

Natural Sciences, Computer Science, Physics +16