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Maxim Ziatdinov

Pacific Northwest National Laboratory

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 (20)

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Collaborators (16)

Doru C. Lupascu

Professor

Universität Duisburg-Essen

GERMANY

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Arpan Biswas

Research Assistant Professor

The University of Tennessee Knoxville

UNITED STATES

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Boris Slautin

Universität Duisburg-Essen

GERMANY

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Jordan Hachtel

Staff Scientist

Oak Ridge National Laboratory

UNITED STATES

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Yongtao Liu

R&D Staff

Oak Ridge National Laboratory

UNITED STATES

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Rama Vasudevan

Group Leader

Oak Ridge National Laboratory

UNITED STATES

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Yu Liu

Assistant Professor

Northeastern University

UNITED STATES

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Ayana Ghosh

Assistant Professor

Indian Institute of Technology Madras

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Sergei Kalinin

Weston Fulton Chair Professor

University of Tennessee

UNITED STATES

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Vladimir Shvartsman

associated professor

Universität Duisburg-Essen

GERMANY

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Ilia Ivanov

R&D scientist

Oak Ridge National Laboratory

UNITED STATES

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William Weber

Governor's Chair Professor

University of Tennessee

UNITED STATES

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Shuozhi Xu

Assistant Professor

University of Oklahoma

UNITED STATES

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Usha Philipose

Associate Professor

University of North Texas

UNITED STATES

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Venkateshkumar Prabhakaran

Scientist

Washington State University

UNITED STATES

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Elias Nakouzi

Pacific Northwest National Laboratory

UNITED STATES

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Maxim Ziatdinov

Research Interests

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Articles (20)

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

Unveiling Swift Heavy Ion Track Morphology in Sr-Based High-Entropy Perovskites

Agentic workflow enables the recovery of critical materials from complex feedstocks via selective precipitation

Back Cover: Evaluating Three Foundation Potentials for Predicting Selected Properties of the Co–Ni–Ru Alloy System (Adv. Intell. Disc. 4/2026)

Toward Intelligent Multimodal Holography for Real‐Time Chemical Imaging of Dynamic Ion Separation

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

Mapping causal patterns in crystalline solids

Variational Autoencoder Toolkit

Toward autonomous materials synthesis via reaction–diffusion coupling

Active deep kernel learning of molecular properties from structural embeddings

Curiosity driven exploration to optimize structure–property learning in microscopy

Active and transfer learning with partially Bayesian neural networks for materials and chemicals

Bayesian Conavigation: Dynamic Designing of the Material Digital Twins via Active Learning

Dynamic STEM-EELS for single-atom and defect measurement during electron beam transformations

Discovering invariant spatial features in electron energy loss spectroscopy images on the mesoscopic and atomic levels

Autonomous convergence of STM control parameters using Bayesian optimization

A dynamic Bayesian optimized active recommender system for curiosity-driven partially Human-in-the-loop automated experiments

Co-orchestration of multiple instruments to uncover structure–property relationships in combinatorial libraries

Designing workflows for materials characterization

Deep kernel methods learn better: from cards to process optimization

Collaborators (16)

Doru C. Lupascu

Arpan Biswas

Boris Slautin

Jordan Hachtel

Yongtao Liu

Rama Vasudevan

Yu Liu

Ayana Ghosh

Sergei Kalinin

Vladimir Shvartsman

Ilia Ivanov

William Weber

Shuozhi Xu

Usha Philipose

Venkateshkumar Prabhakaran

Elias Nakouzi

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