Hiroshi Funakubo

According to our database, Hiroshi Funakubo authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Beyond Scalar Objectives: Expert-Feedback-Driven Autonomous Experimentation for Scientific Discovery at the Nanoscale.

Ralph Bulanadi, Jefferey Baxter, Arpan Biswas, Hiroshi Funakubo, Dennis Meier, Jan Schultheiß, Rama K. Vasudevan, Yongtao Liu

CoRR, May, 2026

PATHFINDER: Multi-objective discovery in structural and spectral spaces.

Kamyar Barakati, Boris N. Slautin, Utkarsh Pratiush, Hiroshi Funakubo, Sergei V. Kalinin

CoRR, April, 2026

Human-AI Collaborative Autonomous Experimentation With Proxy Modeling for Comparative Observation.

Arpan Biswas, Hiroshi Funakubo, Yongtao Liu

CoRR, March, 2026

2025

Reward driven discovery of the optimal microstructure representations with invariant variational autoencoders.

Boris N. Slautin, Kamyar Barakati, Hiroshi Funakubo, Maxim A. Ziatdinov, Vladimir V. Shvartsman, Doru C. Lupascu, Sergei V. Kalinin

CoRR, October, 2025

Beyond Optimization: Exploring Novelty Discovery in Autonomous Experiments.

Ralph Bulanadi, Jawad Chowdhury, Hiroshi Funakubo, Maxim A. Ziatdinov, Rama K. Vasudevan, Arpan Biswas, Yongtao Liu

CoRR, August, 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, June, 2025

Exploring Domain Wall Pinning in Ferroelectrics via Automated High Throughput AFM.

Kamyar Barakati, Yu Liu, Hiroshi Funakubo, Sergei V. Kalinin

CoRR, May, 2025

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, April, 2025

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

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

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

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

2022

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