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Yu Liu

Assistant Professor

Northeastern University

United States

Research Interests

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Professors in United States Professors in Condensed Matter Physics Condensed Matter Physics professors in United States

Articles (17)

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2026

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2026

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2025

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2025

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2025

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2025

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2025

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2024

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2023

Collaborators (16)

Raymundo Arroyave

Associate Professor

Texas A&M University

UNITED STATES

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Horacio Andres Vargas Guzman

Tenure Track Researcher

Universidad Autónoma de Madrid

SPAIN

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Harikrishnan K.P.

Cornell University

UNITED STATES

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Doru C. Lupascu

Professor

Universität Duisburg-Essen

GERMANY

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Mahshid Ahmadi

Associate Professor

University of Tennessee

UNITED STATES

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Anoop Krishnan Naduvath Mana

Associate Professor

Indian Institute of Technology, Delhi

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Jie Huang

Aalto University

FINLAND

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Boris Slautin

Universität Duisburg-Essen

GERMANY

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Yongtao Liu

R&D Staff

Oak Ridge National Laboratory

UNITED STATES

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Susan Trolier-McKinstry

Pennsylvania State University

UNITED STATES

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Philip D. Rack

Professor

University of Tennessee

UNITED STATES

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Sergei Kalinin

Weston Fulton Chair Professor

University of Tennessee

UNITED STATES

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Eric Mascot

University of Melbourne

AUSTRALIA

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Pengcheng Chen

Harvard University

UNITED STATES

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Vladimir Shvartsman

associated professor

Universität Duisburg-Essen

GERMANY

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Graeme Luke

Professor

McMaster University

CANADA

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Yu Liu

Research Interests

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Articles (17)

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

Bayesian Conavigation of a Computational Physical Model and Atomic Force Microscopy Experiment to Autonomously Survey a Combinatorial Materials Library

Automated scanning probe microscopy of combinatorial ferroelectric libraries: Gaussian-process-guided exploration and noise-aware experiment planning

Rewards-based image analysis in microscopy

Towards Self-Optimizing Electron Microscope: Robust Tuning of Aberration Coefficients via Physics-Aware Multi-Objective Bayesian Optimization

Bringing ML to the real world: Rewards are all we need

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

Materials discovery in combinatorial and high-throughput synthesis and processing: A new Frontier for SPM

Reward based optimization of resonance-enhanced piezoresponse spectroscopy

Measurements with noise: Bayesian optimization for co-optimizing noise and property discovery in automated experiments

Mic-hackathon 2024: hackathon on machine learning for electron and scanning probe microscopy

Exploring Domain-Wall Pinning in Ferroelectrics via Automated High-Throughput Atomic Force Microscopy

Reward Driven Workflows for Unsupervised Explainable Analysis of Phases and Ferroic Variants From Atomically Resolved Imaging Data

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

Invariant discovery of features across multiple length scales: Applications in microscopy and autonomous materials characterization

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

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

Collaborators (16)

Raymundo Arroyave

Horacio Andres Vargas Guzman

Harikrishnan K.P.

Doru C. Lupascu

Mahshid Ahmadi

Anoop Krishnan Naduvath Mana

Jie Huang

Boris Slautin

Yongtao Liu

Susan Trolier-McKinstry

Philip D. Rack

Sergei Kalinin

Eric Mascot

Pengcheng Chen

Vladimir Shvartsman

Graeme Luke

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