Hiroshi Funakubo

11 papers Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Human-AI Collaborative Autonomous Experimentation With Proxy Modeling for Comparative Observation. CoRR Arpan Biswas, Hiroshi Funakubo, Yongtao Liu
2025	J	`jnl`	Beyond Optimization: Exploring Novelty Discovery in Autonomous Experiments. CoRR Ralph Bulanadi, Jawad Chowdhury, Hiroshi Funakubo, Maxim A. Ziatdinov, Rama K. Vasudevan, Arpan Biswas, Yongtao Liu
2025	J	`jnl`	Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy. CoRR Aditya Vatsavai, Ganesh Narasimha, Yongtao Liu, Jan-Chi Yang, Hiroshi Funakubo, Maxim A. Ziatdinov, Rama K. Vasudevan
2025	J	`jnl`	Domain Switching on the Pareto Front: Multi-Objective Deep Kernel Learning in Automated Piezoresponse Force Microscopy. CoRR Yu Liu, Utkarsh Pratiush, Kamyar Barakati, Hiroshi Funakubo, Ching-Che Lin, Jaegyu Kim, Lane W. Martin, Sergei V. Kalinin
2025	J	`jnl`	Exploring Domain Wall Pinning in Ferroelectrics via Automated High Throughput AFM. CoRR Kamyar Barakati, Yu Liu, Hiroshi Funakubo, Sergei V. Kalinin
2025	J	`jnl`	Reward driven discovery of the optimal microstructure representations with invariant variational autoencoders. CoRR Boris N. Slautin, Kamyar Barakati, Hiroshi Funakubo, Maxim A. Ziatdinov, Vladimir V. Shvartsman, Doru C. Lupascu, Sergei V. Kalinin
2024	J	`jnl`	Bayesian Co-navigation: Dynamic Designing of the Materials Digital Twins via Active Learning. CoRR Boris N. Slautin, Yongtao Liu, Hiroshi Funakubo, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin
2024	J	`jnl`	Invariant Discovery of Features Across Multiple Length Scales: Applications in Microscopy and Autonomous Materials Characterization. CoRR Aditya Raghavan, Utkarsh Pratiush, Mani Valleti, Richard Liu, Reece Emery, Hiroshi Funakubo, Yongtao Liu, Philip D. Rack, Sergei V. Kalinin
2024	J	`jnl`	SANE: Strategic Autonomous Non-Smooth Exploration for Multiple Optima Discovery in Multi-modal and Non-differentiable Black-box Functions. CoRR Arpan Biswas, Rama K. Vasudevan, Rohit Pant, Ichiro Takeuchi, Hiroshi Funakubo, Yongtao Liu
2024	J	`jnl`	Unraveling the Impact of Initial Choices and In-Loop Interventions on Learning Dynamics in Autonomous Scanning Probe Microscopy. CoRR Boris N. Slautin, Yongtao Liu, Hiroshi Funakubo, Sergei V. Kalinin
2022	J	`jnl`	Experimental discovery of structure-property relationships in ferroelectric materials via active learning. Nat. Mach. Intell. Yongtao Liu, Kyle P. Kelley, Rama K. Vasudevan, Hiroshi Funakubo, Maxim A. Ziatdinov, Sergei V. Kalinin