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Journal Articles

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

Ayana Ghosh, Sergei V. Kalinin, Maxim A. Ziatdinov

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

Journal Articles

Ferroelectric Schottky diodes of CuInP₂S₆ nanosheet

Jinyuan Yao, Yongtao Liu, Shaoqing Ding, Yanglin Zhu, Zhiqiang Mao, Sergei V. Kalinin, Ying Liu

Appl. Phys. Lett. 123, 142903 (2023)

https://doi.org/10.1063/5.0160928

Published: October 2023

View article titled, Ferroelectric Schottky diodes of CuInP2S6 nanosheet

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

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

Journal Articles

Unsupervised learning of ferroic variants from atomically resolved STEM images

S. M. P. Valleti, Sergei V. Kalinin, Christopher T. Nelson, Jonathan J. P. Peters, Wen Dong, Richard Beanland, Xiaohang Zhang, Ichiro Takeuchi, Maxim Ziatdinov

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

Magazine Articles

A quantum lab in a beam

Sergei V. Kalinin, Stephen Jesse, Andrew R. Lupini

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

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

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

Includes: Supplementary data

Journal Articles

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

Arpan Biswas, Anna N. Morozovska, Maxim Ziatdinov, Eugene A. Eliseev, Sergei V. Kalinin

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

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

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

Includes: Supplementary data

Journal Articles

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

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

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 MoS2-ReS2

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

Maxim Ziatdinov, Nicole Creange, Xiaohang Zhang, Anna Morozovska, Eugene Eliseev, Rama K. Vasudevan, Ichiro Takeuchi, Chris Nelson, Sergei V. Kalinin

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 BiFeO3

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

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

Includes: Supplementary data

Journal Articles

Piezoresponse amplitude and phase quantified for electromechanical characterization

Sabine M. Neumayer, Sahar Saremi, Lane W. Martin, Liam Collins, Alexander Tselev, Stephen Jesse, Sergei V. Kalinin, Nina Balke

J. Appl. Phys. 128, 171105 (2020)

https://doi.org/10.1063/5.0011631

Published: November 2020

View article titled, Piezoresponse amplitude and phase quantified for electromechanical characterization

Journal Articles

Exploration of lattice Hamiltonians for functional and structural discovery via Gaussian process-based exploration–exploitation

Sergei V. Kalinin, Mani Valleti, Rama K. Vasudevan, Maxim Ziatdinov

J. Appl. Phys. 128, 164304 (2020)

https://doi.org/10.1063/5.0021762

Published: October 2020

View article titled, Exploration of lattice Hamiltonians for functional and structural discovery via Gaussian process-based exploration–exploitation

Journal Articles

Bayesian inference in band excitation scanning probe microscopy for optimal dynamic model selection in imaging

Rama K. Vasudevan, Kyle P. Kelley, Eugene Eliseev, Stephen Jesse, Hiroshi Funakubo, Anna Morozovska, Sergei V. Kalinin

J. Appl. Phys. 128, 054105 (2020)

https://doi.org/10.1063/5.0005323

Published: August 2020

View article titled, Bayesian inference in band excitation scanning probe microscopy for optimal dynamic model selection in imaging

Includes: Supplementary data

Journal Articles

Super-resolution and signal separation in contact Kelvin probe force microscopy of electrochemically active ferroelectric materials

Maxim Ziatdinov, Dohyung Kim, Sabine Neumayer, Liam Collins, Mahshid Ahmadi, Rama K. Vasudevan, Stephen Jesse, Myung Hyun Ann, Jong H. Kim, Sergei V. Kalinin

J. Appl. Phys. 128, 055101 (2020)

https://doi.org/10.1063/5.0013847

Published: August 2020

View article titled, Super-resolution and signal separation in contact Kelvin probe force microscopy of electrochemically active ferroelectric materials

Journal Articles

Guided search for desired functional responses via Bayesian optimization of generative model: Hysteresis loop shape engineering in ferroelectrics

Sergei V. Kalinin, Maxim Ziatdinov, Rama K. Vasudevan

J. Appl. Phys. 128, 024102 (2020)

https://doi.org/10.1063/5.0011917

Published: July 2020

View article titled, Guided search for desired functional responses via Bayesian optimization of generative model: Hysteresis loop shape engineering in ferroelectrics

Journal Articles

Reconstruction of the interatomic forces from dynamic scanning transmission electron microscopy data

M. Chakraborty, M. Ziatdinov, O. Dyck, S. Jesse, A. D. White, Sergei V. Kalinin

J. Appl. Phys. 127, 224301 (2020)

https://doi.org/10.1063/5.0009413

Published: June 2020

View article titled, Reconstruction of the interatomic forces from dynamic scanning transmission electron microscopy data

Includes: Supplementary data

Journal Articles

Room temperature multiferroicity and magnetodielectric coupling in 0–3 composite thin films

Dhiren K. Pradhan, Shalini Kumari, Rama K. Vasudevan, Sita Dugu, Proloy T. Das, Venkata S. Puli, Dillip K. Pradhan, Sergei V. Kalinin, Ram S. Katiyar, Philip D. Rack, Ashok Kumar

J. Appl. Phys. 127, 194104 (2020)

https://doi.org/10.1063/5.0004480

Published: May 2020

View article titled, Room temperature multiferroicity and magnetodielectric coupling in 0–3 composite thin films

Includes: Supplementary data

Journal Articles

Machine learning-based multidomain processing for texture-based image segmentation and analysis

Nikolay Borodinov, Wan-Yu Tsai, Vladimir V. Korolkov, Nina Balke, Sergei V. Kalinin, Olga S. Ovchinnikova

Appl. Phys. Lett. 116, 044103 (2020)

https://doi.org/10.1063/1.5135328

Published: January 2020

View article titled, Machine learning-based multidomain processing for texture-based image segmentation and analysis

Includes: Supplementary data

Journal Articles

Competing phases in epitaxial vanadium dioxide at nanoscale

Yogesh Sharma, Martin V. Holt, Nouamane Laanait, Xiang Gao, Ilia N. Ivanov, Liam Collins, Changhee Sohn, Zhaoliang Liao, Elizabeth Skoropata, Sergei V. Kalinin, Nina Balke, Gyula Eres, Thomas Z. Ward, Ho Nyung Lee

APL Mater. 7, 081127 (2019)

https://doi.org/10.1063/1.5115784

Published: August 2019

View article titled, Competing phases in epitaxial vanadium dioxide at nanoscale

Includes: Supplementary data

NARROW

Topics

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

Ferroelectric Schottky diodes of CuInP₂S₆ nanosheet

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

Unsupervised learning of ferroic variants from atomically resolved STEM images

A quantum lab in a beam

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

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

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

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

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

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

Piezoresponse amplitude and phase quantified for electromechanical characterization

Exploration of lattice Hamiltonians for functional and structural discovery via Gaussian process-based exploration–exploitation

Bayesian inference in band excitation scanning probe microscopy for optimal dynamic model selection in imaging

Super-resolution and signal separation in contact Kelvin probe force microscopy of electrochemically active ferroelectric materials

Guided search for desired functional responses via Bayesian optimization of generative model: Hysteresis loop shape engineering in ferroelectrics

Reconstruction of the interatomic forces from dynamic scanning transmission electron microscopy data

Room temperature multiferroicity and magnetodielectric coupling in 0–3 composite thin films

Machine learning-based multidomain processing for texture-based image segmentation and analysis

Competing phases in epitaxial vanadium dioxide at nanoscale

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