Experimental discovery of structure-property relationships in ferroelectric materials via active learning. - Yongtao Liu; Kyle P. Kelley; Rama K. Vasudevan; Hiroshi Funakubo; Maxim A. Ziatdinov; Sergei V. Kalinin (Nat. Mach. Intell., 2022)

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)

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)

Invariant Discovery of Features Across Multiple Length Scales: Applications in Microscopy and Autonomous Materials Characterization. - Aditya Raghavan; Utkarsh Pratiush; Mani Valleti; Richard Liu; Reece Emery; Hiroshi Funakubo; Yongtao Liu; Philip D. Rack; Sergei V. Kalinin (CoRR, 2024)

SANE: Strategic Autonomous Non-Smooth Exploration for Multiple Optima Discovery in Multi-modal and Non-differentiable Black-box Functions. - Arpan Biswas; Rama K. Vasudevan; Rohit Pant; Ichiro Takeuchi; Hiroshi Funakubo; Yongtao Liu (CoRR, 2024)

Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy. - Aditya Vatsavai; Ganesh Narasimha; Yongtao Liu; Jan-Chi Yang; Hiroshi Funakubo; Maxim A. Ziatdinov; Rama K. Vasudevan (CoRR, 2025)

Exploring Domain Wall Pinning in Ferroelectrics via Automated High Throughput AFM. - Kamyar Barakati; Yu Liu; Hiroshi Funakubo; Sergei V. Kalinin (CoRR, 2025)

Domain Switching on the Pareto Front: Multi-Objective Deep Kernel Learning in Automated Piezoresponse Force Microscopy. - Yu Liu; Utkarsh Pratiush; Kamyar Barakati; Hiroshi Funakubo; Ching-Che Lin; Jaegyu Kim; Lane W. Martin; Sergei V. Kalinin (CoRR, 2025)