Ensemble learning and iterative training (ELIT) machine learning: applications towards uncertainty quantification and automated experiment in atom-resolved microscopy. - Ayana Ghosh; Bobby G. Sumpter; Ondrej Dyck; Sergei V. Kalinin; Maxim A. Ziatdinov (CoRR, 2021)

Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy. - Sergei V. Kalinin; Maxim A. Ziatdinov; Jacob D. Hinkle; Stephen Jesse; Ayana Ghosh; Kyle P. Kelley; Andrew R. Lupini; Bobby G. Sumpter; Rama K. Vasudevan (CoRR, 2021)

AtomAI: A Deep Learning Framework for Analysis of Image and Spectroscopy Data in (Scanning) Transmission Electron Microscopy and Beyond. - Maxim A. Ziatdinov; Ayana Ghosh; Tommy Wong; Sergei V. Kalinin (CoRR, 2021)

Microscopy is All You Need. - Sergei V. Kalinin; Rama K. Vasudevan; Yongtao Liu; Ayana Ghosh; Kevin Roccapriore; Maxim A. Ziatdinov (CoRR, 2022)

Physics makes the difference: Bayesian optimization and active learning via augmented Gaussian process. - Maxim A. Ziatdinov; Ayana Ghosh; Sergei V. Kalinin (Mach. Learn. Sci. Technol., 2022)

AtomAI framework for deep learning analysis of image and spectroscopy data in electron and scanning probe microscopy. - Maxim A. Ziatdinov; Ayana Ghosh; Chun Yin Wong; Sergei V. Kalinin (Nat. Mac. Intell., 2022)

Towards Rapid Autonomous Electron Microscopy with Active Meta-Learning. - Gayathri Saranathan; Martin Foltin; Aalap Tripathy; Maxim A. Ziatdinov; Ann Mary Justine Koomthanam; Suparna Bhattacharya; Ayana Ghosh; Kevin Roccapriore; Sreenivas Rangan Sukumar; Paolo Faraboschi (SC Workshops, 2023)

Discovery of structure-property relations for molecules via hypothesis-driven active learning over the chemical space. - Ayana Ghosh; Sergei V. Kalinin; Maxim A. Ziatdinov (CoRR, 2023)

Deep Learning for Automated Experimentation in Scanning Transmission Electron Microscopy. - Sergei V. Kalinin; Debangshu Mukherjee; Kevin M. Roccapriore; Ben Blaiszik; Ayana Ghosh; Maxim A. Ziatdinov; Anees Al-Najjar; Christina Doty; Sarah Akers; Nageswara S. V. Rao; Joshua C. Agar; Steven R. Spurgeon (CoRR, 2023)

Active Learning Surrogates for Integrating Electron Microscopy and Computational Insights from Simulations in Autonomous Experiments. - Gayathri Saranathan; Ayana Ghosh; Martin Foltin; Ann Mary Justine Koomthanam; Aalap Tripathy; Maxim A. Ziatdinov; Suparna Bhattacharya; Kevin Roccapriore; Paolo Faraboschi (SC Workshops, 2024)

Active Deep Kernel Learning of Molecular Functionalities: Realizing Dynamic Structural Embeddings. - Ayana Ghosh; Maxim A. Ziatdinov; Sergei V. Kalinin (CoRR, 2024)

Active causal learning for decoding chemical complexities with targeted interventions. - Zachary R. Fox; Ayana Ghosh (Mach. Learn. Sci. Technol., 2024)

Mapping causal pathways with structural modes fingerprint for perovskite oxides. - Ayana Ghosh; Saurabh Ghosh (Mach. Learn. Sci. Technol., 2024)