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Sergei V. Kalinin
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Journal Articles

Realizing smart scanning transmission electron microscopy using high performance computing

Utkarsh Pratiush, Austin Houston, Sergei V. Kalinin, Gerd Duscher
Journal: Review of Scientific Instruments
Rev. Sci. Instrum. 95, 103701 (2024)
https://doi.org/10.1063/5.0225401
Published: October 2024
View article titled, Realizing smart scanning transmission electron microscopy using high performance computing
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Journal Articles

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

Editor’s Pick
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
Journal: Review of Scientific Instruments
Rev. Sci. Instrum. 95, 093701 (2024)
https://doi.org/10.1063/5.0219990
Published: September 2024
View article titled, Integration of scanning probe microscope with high-performance computing: Fixed-policy and reward-driven workflows implementation
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Journal Articles

Physical discovery in representation learning via conditioning on prior knowledge

Editor’s Pick
Yongtao Liu, Bryan D. Huey, Maxim A. Ziatdinov, Sergei V. Kalinin
Journal: Journal of Applied Physics
J. Appl. Phys. 136, 064902 (2024)
https://doi.org/10.1063/5.0222403
Published: August 2024
View article titled, Physical discovery in representation learning via conditioning on prior knowledge
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Journal Articles

Phase diagrams and polarization reversal in nanosized HfxZr1−xO2−y

Eugene A. Eliseev, Yuri O. Zagorodniy, Victor N. Pavlikov, Oksana V. Leshchenko, Hanna V. Shevliakova, Miroslav V. Karpets, Andrei D. Yaremkevych, Olena M. Fesenko, Sergei V. Kalinin, Anna N. Morozovska
Journal: AIP Advances
AIP Advances 14, 055224 (2024)
https://doi.org/10.1063/5.0209123
Published: May 2024
View article titled, Phase diagrams and polarization reversal in nanosized Hf<sub>x</sub>Zr<sub>1−x</sub>O<sub>2−y</sub>
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Journal Articles

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
Journal: Journal of Applied Physics
J. Appl. Phys. 135, 154901 (2024)
https://doi.org/10.1063/5.0198316
Published: April 2024
View article titled, Unraveling the impact of initial choices and in-loop interventions on learning dynamics in autonomous scanning probe microscopy
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Journal Articles

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

Kevin M. Roccapriore, Maxim Ziatdinov, Andrew R. Lupini, Abhay P. Singh, Usha Philipose, Sergei V. Kalinin
Journal: Journal of Applied Physics
J. Appl. Phys. 135, 114303 (2024)
https://doi.org/10.1063/5.0193607
Published: March 2024
View article titled, Discovering invariant spatial features in electron energy loss spectroscopy images on the mesoscopic and atomic levels
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Journal Articles

Designing workflows for materials characterization

Featured
Sergei V. Kalinin, Maxim Ziatdinov, Mahshid Ahmadi, Ayana Ghosh, Kevin Roccapriore, Yongtao Liu, Rama K. Vasudevan
Journal: Applied Physics Reviews
Appl. Phys. Rev. 11, 011314 (2024)
https://doi.org/10.1063/5.0169961
Published: March 2024
View article titled, Designing workflows for materials characterization
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Journal Articles

Perspectives and progress on wurtzite ferroelectrics: Synthesis, characterization, theory, and device applications

Joseph Casamento, Steven M. Baksa, Drew Behrendt, Sebastian Calderon, Devin Goodling, John Hayden, Fan He, Leonard Jacques, Seung Hoon Lee, Walter Smith, Albert Suceava, Quyen Tran, Xiaojun Zheng, Rui Zu, Thomas Beechem, Ismaila Dabo, Elizabeth C. Dickey, Giovanni Esteves, Venkatraman Gopalan, Michael David Henry, Jon F. Ihlefeld, Thomas N. Jackson, Sergei V. Kalinin, Kyle P. Kelley, Yongtao Liu, Andrew M. Rappe, Joan Redwing, Susan Trolier-McKinstry, Jon-Paul Maria
Journal: Applied Physics Letters
Appl. Phys. Lett. 124, 080501 (2024)
https://doi.org/10.1063/5.0185066
Published: February 2024
View article titled, Perspectives and progress on wurtzite ferroelectrics: Synthesis, characterization, theory, and device applications
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Journal Articles

The strain-induced transitions of the piezoelectric, pyroelectric, and electrocaloric properties of the CuInP2S6 films

Editor’s Pick
Anna N. Morozovska, Eugene A. Eliseev, Lesya P. Yurchenko, Valentyn V. Laguta, Yongtao Liu, Sergei V. Kalinin, Andrei L. Kholkin, Yulian M. Vysochanskii
Journal: AIP Advances
AIP Advances 13, 125306 (2023)
https://doi.org/10.1063/5.0178854
Published: December 2023
View article titled, The strain-induced transitions of the piezoelectric, pyroelectric, and electrocaloric properties of the CuInP<sub>2</sub>S<sub>6</sub> films
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Includes: Supplementary data
Journal Articles

Discovery of structure–property relations for molecules via hypothesis-driven active learning over the chemical space

Featured
Ayana Ghosh, Sergei V. Kalinin, Maxim A. Ziatdinov
Journal: APL Machine Learning
APL Mach. Learn. 1, 046102 (2023)
https://doi.org/10.1063/5.0157644
Published: October 2023
View article titled, Discovery of structure–property relations for molecules via hypothesis-driven active learning over the chemical space
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Includes: Supplementary data
Journal Articles

Ferroelectric Schottky diodes of CuInP2S6 nanosheet

Jinyuan Yao, Yongtao Liu, Shaoqing Ding, Yanglin Zhu, Zhiqiang Mao, Sergei V. Kalinin, Ying Liu
Journal: Applied Physics Letters
Appl. Phys. Lett. 123, 142903 (2023)
https://doi.org/10.1063/5.0160928
Published: October 2023
View article titled, Ferroelectric Schottky diodes of CuInP<sub>2</sub>S<sub>6</sub> nanosheet
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Includes: Supplementary data
Journal Articles

Unsupervised machine learning discovery of structural units and transformation pathways from imaging data

Sergei V. Kalinin, Ondrej Dyck, Ayana Ghosh, Yongtao Liu, Bobby G. Sumpter, Maxim Ziatdinov
Journal: APL Machine Learning
APL Mach. Learn. 1, 026117 (2023)
https://doi.org/10.1063/5.0147316
Published: June 2023
View article titled, Unsupervised machine learning discovery of structural units and transformation pathways from imaging data
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Journal Articles

Unsupervised learning of ferroic variants from atomically resolved STEM images

Editor’s Pick
S. M. P. Valleti, Sergei V. Kalinin, Christopher T. Nelson, Jonathan J. P. Peters, Wen Dong, Richard Beanland, Xiaohang Zhang, Ichiro Takeuchi, Maxim Ziatdinov
Journal: AIP Advances
AIP Advances 12, 105122 (2022)
https://doi.org/10.1063/5.0105406
Published: October 2022
View article titled, Unsupervised learning of ferroic variants from atomically resolved STEM images
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Magazine Articles

A quantum lab in a beam

Sergei V. Kalinin, Stephen Jesse, Andrew R. Lupini
Journal: Physics Today
Physics Today 75, 30–36 (2022)
https://doi.org/10.1063/PT.3.5018
Published: June 2022
View article titled, A quantum lab in a beam
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Journal Articles

Exploring leakage in dielectric films via automated experiments in scanning probe microscopy

Yongtao Liu, Shelby S. Fields, Takanori Mimura, Kyle P. Kelley, Susan Trolier-McKinstry, Jon F. Ihlefeld, Sergei V. Kalinin
Journal: Applied Physics Letters
Appl. Phys. Lett. 120, 182903 (2022)
https://doi.org/10.1063/5.0079217
Published: May 2022
View article titled, Exploring leakage in dielectric films via automated experiments in scanning probe microscopy
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Includes: Supplementary data
Journal Articles

Multi-objective Bayesian optimization of ferroelectric materials with interfacial control for memory and energy storage applications

Editor’s Pick
Arpan Biswas, Anna N. Morozovska, Maxim Ziatdinov, Eugene A. Eliseev, Sergei V. Kalinin
Journal: Journal of Applied Physics
J. Appl. Phys. 130, 204102 (2021)
https://doi.org/10.1063/5.0068903
Published: November 2021
View article titled, Multi-objective Bayesian optimization of ferroelectric materials with interfacial control for memory and energy storage applications
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Includes: Supplementary data
Journal Articles

Probing polarization dynamics at specific domain configurations: Computer-vision based automated experiment in piezoresponse force microscopy

Kyle P. Kelley, Sergei V. Kalinin, Maxim Ziatdinov, Oliver Paull, Daniel Sando, Valanoor Nagarajan, Rama K. Vasudevan, Stephen Jesse
Journal: Applied Physics Letters
Appl. Phys. Lett. 119, 132902 (2021)
https://doi.org/10.1063/5.0062046
Published: September 2021
View article titled, Probing polarization dynamics at specific domain configurations: Computer-vision based automated experiment in piezoresponse force microscopy
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Includes: Supplementary data
Journal Articles

Investigating phase transitions from local crystallographic analysis based on statistical learning of atomic environments in 2D MoS2-ReS2

Scilight
Rama K. Vasudevan, Maxim Ziatdinov, Vinit Sharma, Mark P. Oxley, Lukas Vlcek, Anna N. Morozovska, Eugene A. Eliseev, Shi-Ze Yang, Yongji Gong, Pulickel Ajayan, Wu Zhou, Matthew F. Chisholm, Sergei V. Kalinin
Journal: Applied Physics Reviews
Appl. Phys. Rev. 8, 011409 (2021)
https://doi.org/10.1063/5.0012761
Published: March 2021
View article titled, Investigating phase transitions from local crystallographic analysis based on statistical learning of atomic environments in 2D MoS<sub>2</sub>-ReS<sub>2</sub>
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Includes: Supplementary data
Journal Articles

Predictability as a probe of manifest and latent physics: The case of atomic scale structural, chemical, and polarization behaviors in multiferroic Sm-doped BiFeO3

FeaturedScilight
Maxim Ziatdinov, Nicole Creange, Xiaohang Zhang, Anna Morozovska, Eugene Eliseev, Rama K. Vasudevan, Ichiro Takeuchi, Chris Nelson, Sergei V. Kalinin
Journal: Applied Physics Reviews
Appl. Phys. Rev. 8, 011403 (2021)
https://doi.org/10.1063/5.0016792
Published: February 2021
View article titled, Predictability as a probe of manifest and latent physics: The case of atomic scale structural, chemical, and polarization behaviors in multiferroic Sm-doped BiFeO<sub>3</sub>
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Journal Articles

Reconstruction and uncertainty quantification of lattice Hamiltonian model parameters from observations of microscopic degrees of freedom

Mani Valleti, L. Vlcek, Maxim Ziatdinov, Rama K. Vasudevan, Sergei V. Kalinin
Journal: Journal of Applied Physics
J. Appl. Phys. 128, 214103 (2020)
https://doi.org/10.1063/5.0024387
Published: December 2020
View article titled, Reconstruction and uncertainty quantification of lattice Hamiltonian model parameters from observations of microscopic degrees of freedom
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Includes: Supplementary data