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Sergei V. Kalinin

Department of Materials Science and Engineering

109H-index
1.6KPaper Count
4.9WCitation Count
Published Papers 618
Publication Date
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Rewards-based image analysis in microscopy
errnpj Computational Materials
IF11.9
err2026-07-31
err0
errOAAI
errKamyar Barakati; Yu Liu; Utkarsh Pratiush; Boris N. Slautin; Sergei V. Kalinin
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Embedded Ferroelectric Nanoclusters Can Drive Polarization Reversal in a Non-Ferroelectric Polar Film via the Proximity Effect
errAdvanced Functional Materials
IF19
err2026-07-27
err0
errOAAI
errAnna N. Morozovska; Eugene A. Eliseev; Sergei V. Kalinin; Long-Qing Chen; Dean R. Evans; Venkatraman Gopalan
errShare
errSave
Bringing ML to the real world: Rewards are all we need
errAPL Machine Learning
IF0
err2026-03-01
err0
PREAI
errKalinin, Sergei V.; Slautin, Boris N.; Liu, Yu; Ahmadi, Mahshid; Barakati, Kamyar; Krishnan, N. M. Anoop; Ji, Heng; Cao, Charles; Arroyave, Raymundo
errShare
errSave
Proximity Ferroelectricity in Compositionally Graded Structures
errAdvanced Electronic Materials
IF5.3
err2026-02-01
err0
errOAAI
errEliseev, Eugene A.; Morozovska, Anna N.; Kalinin, Sergei V.; Chen, Long-Qing; Gopalan, Venkatraman
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errSave
Roadmap on deep learning for microscopy
errjournal of physics: photonics
IF0
err2026-01-29
err0
errOAAI
errGiovanni Volpe; Carolina Wählby; Lei Tian; Michael Hecht; Artur Yakimovich; Kristina Monakhova; Laura Waller; Ivo F Sbalzarini; Christopher A Metzler; Mingyang Xie; Kevin Zhang; Isaac C D Lenton; Halina Rubinsztein-Dunlop; Daniel Brunner; Bijie Bai; Aydogan Ozcan; Daniel Midtvedt; Hao Wang; Tongyu Li; Nataša Sladoje; Joakim Lindblad; Jason T Smith; Marien Ochoa; Margarida Barroso; Xavier Intes; Tong Qiu; Li-Yu Yu; Sixian You; Yongtao Liu; Maxim A Ziatdinov; Sergei V Kalinin; Arlo Sheridan; Uri Manor; Elias Nehme; Ofri Goldenberg; Yoav Shechtman; Henrik K Moberg; Christoph Langhammer; Barbora Špačková; Saga Helgadottir; Benjamin Midtvedt; Aykut Argun; Tobias Thalheim; Frank Cichos; Stefano Bo; Lars Hubatsch; Jesus Pineda; Carlo Manzo; Harshith Bachimanchi; Erik Selander; Antoni Homs-Corbera; Martin Fränzl; Kevin de Haan; Yair Rivenson; Zofia Korczak; Caroline Beck Adiels; Mite Mijalkov; Dániel Veréb; Yu-Wei Chang; Joana B Pereira; Damian Matuszewski; Gustaf Kylberg; Ida-Maria Sintorn; Juan C Caicedo; Beth A Cimini; Muyinatu A Lediju Bell; Bruno M Saraiva; Guillaume Jacquemet; Ricardo Henriques; Wei Ouyang; Trang Le; Estibaliz Gómez-de-Mariscal; Daniel Sage; Arrate Muñoz-Barrutia; Ebba Josefson Lindqvist; Johanna Bergman
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Pareto-Optimal Experimentation: Human-Guided Multi-Objective Bayesian Optimization in Scanning Probe Microscopy
errNano Letters
IF9.1
err2025-12-23
err0
PREAI
errYu Liu; Sergei V. Kalinin
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errSave
Mic-hackathon 2024: hackathon on machine learning for electron and scanning probe microscopy
errMachine Learning: Science and Technology
IF0
err2025-12-02
err0
errOAAI
errUtkarsh Pratiush; Austin Houston; Kamyar Barakati; Aditya Raghavan; Ralph Bulanadi; Xiangyu Yin; Samuel S Welborn; Dasol Yoon; Harikrishnan K P; Zhaslan Baraissov; Desheng Ma; Mikolaj Jakowski; Shawn-Patrick Barhorst; Alexander J Pattison; Panayotis Manganaris; Sita Sirisha Madugula; Sai Venkata Gayathri Ayyagari; Vishal Kennedy; Michelle Wang; Kieran J Pang; Ian Addison-Smith; Willy Menacho; Horacio V Guzman; Alexander Kiefer; Nicholas Furth; Nikola L Kolev; Mikhail Petrov; Viktoriia Liu; Sergey Ilyev; Srikar Rairao; Tommaso Rodani; Ivan Pinto-Huguet; Xuli Chen; Josep Cruañes; Marta Torrens; Jovan Pomar; Fanzhi Su; Pawan Vedanti; Zhiheng Lyu; Xingzhi Wang; Lehan Yao; Amir Taqieddin; Forrest Laskowski; Yu-Tsun Shao; Benjamin Fein-Ashley; Yi Jiang; Vineet Kumar; Himanshu Mishra; Yogesh Paul; Adib Bazgir; Rama Chandra Praneeth Madugula; Yuwen Zhang; Pravan Omprakash; Jian Huang; Eric Montufar-Morales; Vivek Chawla; Harshit Sethi; Jie Huang; Lauri Kurki; Grace Guinan; Addison Salvador; Arman Ter-Petrosyan; Madeline Van Winkle; Steven R Spurgeon; Ganesh Narasimha; Zijie Wu; Richard Liu; Yongtao Liu; Boris Slautin; Andrew R Lupini; Rama Vasudevan; Gerd Duscher; Sergei V Kalinin
errShare
errSave
Comparing Machine Learning and Physics-Based Nanoparticle Geometry Determinations Using Far-Field Spectral Properties
errJOURNAL OF PHYSICAL CHEMISTRY C
IF3.2
err2025-12-01
err0
PREAI
errSun, Mengqi; Huang, Zixu; Yaman, Muammer Y.; Ziatdinov, Maxim; Kalinin, Sergei V.; Ginger, David S.
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errSave
Active deep kernel learning of molecular properties from structural embeddings
errAPL Machine Learning
IF0
err2025-12-01
err0
errOAAI
errGhosh, Ayana; Ziatdinov, Maxim; Kalinin, Sergei V.
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errSave
Polarization Switching on the Open Surfaces of the Wurtzite Ferroelectric Nitrides: Ferroelectric Subsystems and Electrochemical Reactivity
errAdvanced Materials
IF26.8
err2025-11-06
err0
PREAI
errYongtao Liu; Anton V. Ievlev; Eugene A. Eliseev; Ali Mohammadi Dinani; Alireza Sepehrinezhad; Ubaidullah S. Hassan; Drew Behrendt; Nana Sun; Kazuki Okamoto; Hiroshi Funakubo; Andrew M. Rappe; Adri C. T. van Duin; Anna N. Morozovska; Sergei Kalinin
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errSave
Exploring Domain-Wall Pinning in Ferroelectrics via Automated High-Throughput Atomic Force Microscopy
errACS Applied Materials and Interfaces
IF8.2
err2025-11-01
err0
PREAI
errBarakati, Kamyar; Liu, Yu; Funakubo, Hiroshi; Kalinin, Sergei V.
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errSave
LLM-Assisted Causal Discovery: Mapping Hidden Patterns in Crystalline Solids
errMicroscopy and Microanalysis
IF3
err2025-07-25
err0
errOAAI
errKamyar Barakati; Alexander Molak; Chris Nelson; Xiaohang Zhang; Ichiro Takeuchi; Sergei V Kalinin
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errSave
Real-Time Image Analysis in Microscopy: A Reward-Based Workflow Approach
errMicroscopy and Microanalysis
IF3
err2025-07-25
err0
PREAI
errKamyar Barakati; Richard (Yu) Liu; Utkarsh Pratiush; Austin C Houston; Gerd Duscher; Sergei V Kalinin
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errSave
STEM Orchestrator: Managing Multi-hardware-component STEM Automation Seamlessly
errMicroscopy and Microanalysis
IF3
err2025-07-25
err0
PREAI
errUtkarsh Pratiush; Austin Houston; Paolo Longo; Remco Geurts; Sergei V Kalinin; Gerd Duscher
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errSave
ParticleGENOME: Real-time High-Throughput Particle Characterization in STEM
errMicroscopy and Microanalysis
IF3
err2025-07-25
err0
errOAAI
errUtkarsh Pratiush; Austin Houston; Paolo Longo; Remco Geurts; Gerd Duscher; Sergei V Kalinin
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errSave
In-situ Monitoring of Automated Defect Formation in STEM
errMicroscopy and Microanalysis
IF3
err2025-07-25
err0
errOAAI
errMatthew G Boebinger; Zijie Wu; Kevin M Roccapriore; Ayana Ghosh; Maxim Ziatdinov; Sergei V Kalinin; Raymond R Unocic
errShare
errSave
Building Automated Microscopes: Rewards Are All We Need (Now)
errMicroscopy and Microanalysis
IF3
err2025-07-25
err0
errOAAI
errSergei V Kalinin; Kamyar Barakati; Richard (Yu) Liu; Utkarsh Pratiush; Austin C Houston; Gerd Duscher
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errSave
Artificial Intelligence for Materials Discovery; Development; and Optimization
errACS Nano
IF16
err2025-07-25
err0
PREAI
errBenediktus Madika; Aditi Saha; Chaeyul Kang; Batzorig Buyantogtokh; Joshua Agar; Chris M. Wolverton; Peter Voorhees; Peter Littlewood; Sergei Kalinin; Seungbum Hong
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errSave
Reward Driven Workflows for Unsupervised Explainable Analysis of Phases and Ferroic Variants From Atomically Resolved Imaging Data
errAdvanced Materials
IF26.8
err2025-06-18
err0
errOAAI
errKamyar Barakati; Yu Liu; Chris Nelson; Maxim Ziatdinov; Xiaohang Zhang; Ichiro Takeuchi; Sergei V. Kalinin
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errSave
Learning and Controlling Silicon Dopant Transitions in Graphene Using Scanning Transmission Electron Microscopy
errADVANCED MATERIALS INTERFACES
IF4.4
err2025-05-20
err0
errOAAI
errSchwarzer, M; Farebrother, J; Greaves, J; Cubuk, ED; Agarwal, R; Courville, A; Bellemare, MG; Kalinin, S; Mordatch, I; Castro, PS; Roccapriore, KM
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Research Directions

No research directions
Co-authors
Cooperation Journals
S
Sheng Dai
H-index: 153 · Papers: 1.5K
陈龙清 cover
陈龙清 (Long‐Qing Chen)
H-index: 144 · Papers: 1.6K
Y
Yang Ren
H-index: 132 · Papers: 1.6K
R
R. Ramesh
H-index: 128 · Papers: 936
A
Adri C. T. van Duin
H-index: 114 · Papers: 818
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