Publications

Selected work.

Quantum-materials imaging and the experimental tools that make automated materials research possible. The selection includes work completed at previous institutions with the collaborators credited in each paper.

Peer-reviewed papers

2026

Autonomous Multi‐Objective Nanoscale Characterization of Combinatorial (Al, Sc, B)N Films Reveals Composition‐Dependent Ferroelectric Regimes

Yu Liu and colleagues

All authors

Yu Liu, Aditya Raghavan, Utkarsh Pratiush, Ian Mercer, Pochun Hsieh, Albert Suceava, Chih‐Yu Lee, Edgar Dimitrov, Mauricio Terrones, Ichiro Takeuchi, Venkatraman Gopalan, Jon‐Paul Maria, Sergei V. Kalinin

Advanced Functional Materials, e78139 (2026)

Autonomous characterization of composition-dependent ferroelectric behavior in combinatorial (Al, Sc, B)N films.

Publisher / DOI

2026

Pareto-Optimal Experimentation: Human-Guided Multi-Objective Bayesian Optimization in Scanning Probe Microscopy

Yu Liu and Sergei V. Kalinin

Nano Letters 26(1), 441–447 (2026)

Multi-objective Bayesian optimization exposes trade-offs between experimental rewards and supports human-guided choices of microscope settings.

Publisher / DOI Open preprint

2025

Machine Learning-Based Reward-Driven Tuning of Scanning Probe Microscopy: Toward Fully Automated Microscopy

Yu Liu and colleagues

All authors

Yu Liu, Roger Proksch, Jason Bemis, Utkarsh Pratiush, Astita Dubey, Mahshid Ahmadi, Reece Emery, Philip D. Rack, Yu-Chen Liu, Jan-Chi Yang, Sergei V. Kalinin

ACS Nano 19, 19659-19669 (2025)

Physical and empirical measures of scan quality guide automated tuning of tapping-mode scanning probe microscopy.

Publisher / DOI Open preprint

2024

Integration of scanning probe microscope with high-performance computing: Fixed-policy and reward-driven workflows implementation

Yu Liu and colleagues

All authors

Yu Liu, Utkarsh Pratiush, Jason Bemis, Roger Proksch, Reece Emery, Philip D. Rack, Yu-Chen Liu, Jan-Chi Yang, Stanislav Udovenko, Susan Trolier-McKinstry, Sergei V. Kalinin

Review of Scientific Instruments 95, 093701 (2024)

A Python interface connects scanning probe microscopy with computing resources and supports fixed-policy and reward-driven experimental workflows.

Publisher / DOI Code

2023

Visualizing the atomic-scale origin of metallic behavior in Kondo insulators

Harris Pirie and colleagues

All authors

Harris Pirie, Eric Mascot, Christian E. Matt, Yu Liu, Pengcheng Chen, M. H. Hamidian, Shanta Saha, Xiangfeng Wang, Johnpierre Paglione, Graeme Luke, David Goldhaber-Gordon, Cyrus F. Hirjibehedin, J. C. Séamus Davis, Dirk K. Morr, Jennifer E. Hoffman

Science 379, 1214-1218 (2023)

Atomic-resolution imaging reveals metallic regions around defects in Kondo-lattice materials.

Publisher / DOI Open preprint

2020

Imaging emergent heavy Dirac fermions of a topological Kondo insulator

Harris Pirie and colleagues

All authors

Harris Pirie, Yu Liu, Anjan Soumyanarayanan, Pengcheng Chen, Yang He, M. M. Yee, P. F. S. Rosa, J. D. Thompson, Dae-Jeong Kim, Z. Fisk, Xiangfeng Wang, Johnpierre Paglione, Dirk K. Morr, M. H. Hamidian, Jennifer E. Hoffman

Nature Physics 16, 52-56 (2020)

Spectroscopic imaging probes heavy Dirac surface states in the topological Kondo insulator SmB₆.

Publisher / DOI Open preprint

Selected open preprint

2025

Preprint

Domain Switching on the Pareto Front: Multi-Objective Deep Kernel Learning in Automated Piezoresponse Force Microscopy

Yu Liu and colleagues

All authors

Yu Liu, Utkarsh Pratiush, Kamyar Barakati, Hiroshi Funakubo, Ching-Che Lin, Jaegyu Kim, Lane W. Martin, Sergei V. Kalinin

arXiv:2506.08073 (2025)

A multi-objective learning workflow connects local microstructural features with measured ferroelectric switching response.

arXiv

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Richard Liu publishes as Yu Liu. Bibliographic details link to the original records. This is a selected list.