Unraveling the Impact of Initial Choices and In-Loop Interventions on Learning Dynamics in Autonomous Scanning Probe Microscopy. - Boris N. Slautin; Yongtao Liu; Hiroshi Funakubo; Sergei V. Kalinin (CoRR, 2024)

Co-orchestration of Multiple Instruments to Uncover Structure-Property Relationships in Combinatorial Libraries. - Boris N. Slautin; Utkarsh Pratiush; Ilia N. Ivanov; Yongtao Liu; Rohit Pant; Xiaohang Zhang; Ichiro Takeuchi; Maxim A. Ziatdinov; Sergei V. Kalinin (CoRR, 2024)

Bayesian Co-navigation: Dynamic Designing of the Materials Digital Twins via Active Learning. - Boris N. Slautin; Yongtao Liu; Hiroshi Funakubo; Rama K. Vasudevan; Maxim A. Ziatdinov; Sergei V. Kalinin (CoRR, 2024)

Measurements with Noise: Bayesian Optimization for Co-optimizing Noise and Property Discovery in Automated Experiments. - Boris N. Slautin; Yu Liu; Jan Dec; Vladimir V. Shvartsman; Doru C. Lupascu; Maxim A. Ziatdinov; Sergei V. Kalinin (CoRR, 2024)

Rewards-based image analysis in microscopy. - Kamyar Barakati; Yu Liu; Utkarsh Pratiush; Boris N. Slautin; Sergei V. Kalinin (CoRR, 2025)

Integrating Predictive and Generative Capabilities by Latent Space Design via the DKL-VAE Model. - Boris N. Slautin; Utkarsh Pratiush; Doru C. Lupascu; Maxim A. Ziatdinov; Sergei V. Kalinin (CoRR, 2025)

Mic-hackathon 2024: Hackathon on Machine Learning for Electron and Scanning Probe Microscopy. - Utkarsh Pratiush; Austin Houston; Kamyar Barakati; Aditya Raghavan; Dasol Yoon; Harikrishnan KP; Zhaslan Baraissov; Desheng Ma; Samuel S. Welborn; Mikolaj Jakowski; Shawn-Patrick Barhorst; Alexander J. Pattison; et al. (CoRR, 2025)