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Sergei V. Kalinin

  1. Review of low-cost self-driving laboratories in chemistry and materials science: the “frugal twin” concept
    2024/01/01 by Stanley Lo, Sterling G. Baird, Joshua Schrier +10 · 1 voice · 13 citations
    Business, Management and Accounting · Computer Science · #Innovation and Socioeconomic Development #Open Source Software Innovations #Data Stream Mining Techniques
  2. Experimental discovery of structure-property relationships in ferroelectric materials via active learning
    2021/08/13 by Yongtao Liu, Kyle P. Kelley, Liu, Yongtao +9 · 7 citations
    Materials Science · Physics and Astronomy · #FOS: Physical sciences #Ferroelectric and Piezoelectric Materials #Force Microscopy Techniques and Applications #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci)
  3. Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning
    2022/05/30 by Maxim Ziatdinov, Ziatdinov, Maxim, Yongtao Liu +7 · 7 citations
    Computer Science · Materials Science · #FOS: Computer and information sciences #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci)
  4. Ferroelectricity in Hafnia Controlled via Surface Electrochemical State
    2022/07/25 by Kyle P. Kelley, Kelley, Kyle P., Anna N. Morozovska +15 · 6 citations
    Engineering · Materials Science · #FOS: Physical sciences #Ferroelectric and Negative Capacitance Devices #Ferroelectric and Piezoelectric Materials #Materials Science (cond-mat.mtrl-sci) #Semiconductor materials and devices
  5. Exploring Physics of Ferroelectric Domain Walls in Real Time: Deep Learning Enabled Scanning Probe Microscopy
    2022/06/23 by Yongtao Liu, Kyle P. Kelley, Liu, Yongtao +7 · 5 citations
    Engineering · #Electrical and Bioimpedance Tomography #Photoacoustic and Ultrasonic Imaging #Non-Destructive Testing Techniques
  6. Roadmap on atomic-scale semiconductor devices
    2025/01/10 by Steven R. Schofield, A. J. Fisher, Eran Ginossar +47 · 1 voice · 8 citations
    Engineering · Materials Science · Physics and Astronomy · #Electronic and Structural Properties of Oxides #Semiconductor Quantum Structures and Devices #Semiconductor materials and devices
  7. Intrinsic structural instabilities of domain walls driven by gradient couplings: meandering anferrodistortive-ferroelectric domain walls in BiFeO3
    2018/10/15 by Eugene А. Eliseev, Eliseev, Eugene A., Anna N. Morozovska +5 · 2 citations
    Engineering · Materials Science · #Acoustic Wave Resonator Technologies #FOS: Physical sciences #Ferroelectric and Piezoelectric Materials #Materials Science (cond-mat.mtrl-sci) #Multiferroics and related materials #Nonlocal and gradient elasticity in micro/nano structures
  8. Physics and Chemistry from Parsimonious Representations: Image Analysis via Invariant Variational Autoencoders
    2023/03/30 by Mani Valleti, Valleti, Mani, Yongtao Liu +3 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Materials Science · #Advanced Electron Microscopy Techniques and Applications #Machine Learning in Materials Science #Cell Image Analysis Techniques
  9. Ferroelectric or non-ferroelectric: why so many materials exhibit\n ferroelectricity on the nanoscale
    2017/01/04 by Rama K. Vasudevan, Nina Balke, Vasudevan, Rama K. +6 · 2 citations
    Engineering · Materials Science · Physics and Astronomy · #Acoustic Wave Resonator Technologies #FOS: Physical sciences #Ferroelectric and Piezoelectric Materials #Force Microscopy Techniques and Applications #Materials Science (cond-mat.mtrl-sci) #Mechanical and Optical Resonators #Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
  10. Fast Scanning Probe Microscopy via Machine Learning: Non-rectangular\n scans with compressed sensing and Gaussian process optimization
    2020/04/23 by Kyle P. Kelley, Kelley, Kyle P., Maxim Ziatdinov +13 · 2 citations
    Physics and Astronomy · Engineering · #Force Microscopy Techniques and Applications #Near-Field Optical Microscopy #Piezoelectric Actuators and Control
  11. Coexistence and interplay of two ferroelectric mechanisms in Zn1-xMgxO
    2024/02/13 by Jonghee Yang, Yang, Jonghee, Anton V. Ievlev +17 · 4 citations
    Engineering · #FOS: Physical sciences #Gas Sensing Nanomaterials and Sensors #Materials Science (cond-mat.mtrl-sci)
  12. Deep Kernel Methods Learn Better: From Cards to Process Optimization
    2023/03/25 by Mani Valleti, Rama k. Vasudevan, Valleti, Mani +5 · 3 citations
    Computer Science · Materials Science · Physics and Astronomy · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Mesoscale and Nanoscale Physics (cond-mat.mes-hall) #Model Reduction and Neural Networks #Neural Networks and Applications
  13. Automated Experiments of Local Non-linear Behavior in Ferroelectric Materials
    2022/06/30 by Yongtao Liu, Liu, Yongtao, Kyle P. Kelley +17 · 3 citations
    Engineering · Physics and Astronomy · #FOS: Physical sciences #Force Microscopy Techniques and Applications #Materials Science (cond-mat.mtrl-sci) #Structural Health Monitoring Techniques #Ultrasonics and Acoustic Wave Propagation
  14. Automated experiment in 4D-STEM: exploring emergent physics and structural behaviors
    2021/12/08 by Kevin M. Roccapriore, Roccapriore, Kevin M., Ondrej Dyck +7 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Materials Science · #Advanced Electron Microscopy Techniques and Applications #Electron and X-Ray Spectroscopy Techniques #Electronic and Structural Properties of Oxides #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci)
  15. Physics makes the difference: Bayesian optimization and active learning via augmented Gaussian process
    2021/08/23 by Maxim Ziatdinov, Ziatdinov, Maxim, Ayana Ghosh +3 · 2 citations
    Computer Science · Materials Science · #Gaussian Processes and Bayesian Inference #Machine Learning in Materials Science #Machine Learning and Data Classification
  16. Dynamic STEM-EELS for single atom and defect measurement during electron beam transformations
    2023/10/19 by Kevin M. Roccapriore, Riccardo Torsi, Roccapriore, Kevin M. +7 · 3 citations
    Engineering · Materials Science · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #Electron and X-Ray Spectroscopy Techniques #FOS: Physical sciences #Industrial Vision Systems and Defect Detection #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci)
  17. Scientific Exploration with Expert Knowledge (SEEK) in Autonomous Scanning Probe Microscopy with Active Learning
    2024/08/04 by Utkarsh Pratiush, Hiroshi Funakubo, Pratiush, Utkarsh +7 · 5 citations
    Engineering · Physics and Astronomy · #Advanced Materials Characterization Techniques #Advanced Surface Polishing Techniques #Applied Physics (physics.app-ph) #FOS: Physical sciences #Force Microscopy Techniques and Applications #Materials Science (cond-mat.mtrl-sci)
  18. Roadmap on Deep Learning for Microscopy
    2023/03/07 by Giovanni Volpe, Carolina Wählby, Volpe, Giovanni +147 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Cell Image Analysis Techniques #AI in cancer detection #Image Processing Techniques and Applications
  19. Human-in-the-loop: The future of Machine Learning in Automated Electron Microscopy
    2023/10/08 by Sergei V. Kalinin, Yongtao Liu, Kalinin, Sergei V. +13 · 2 citations
    Decision Sciences · Materials Science · #Electron and X-Ray Spectroscopy Techniques #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Scientific Computing and Data Management #electronic engineering #information engineering
  20. Active learning in open experimental environments: selecting the right information channel(s) based on predictability in deep kernel learning
    2022/03/18 by Maxim Ziatdinov, Ziatdinov, Maxim, Yongtao Liu +3 · 2 citations
    Computer Science · Engineering · Materials Science · #Computational Drug Discovery Methods #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Innovative Microfluidic and Catalytic Techniques Innovation #Machine Learning (cs.LG) #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Statistics and Probability (physics.data-an)
  21. Imaging Mechanism for Hyperspectral Scanning Probe Microscopy via\n Gaussian Process Modelling
    2019/11/26 by Maxim Ziatdinov, Ziatdinov, Maxim, Dohyung Kim +13 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Engineering · Physics and Astronomy · #Advanced Fluorescence Microscopy Techniques #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Force Microscopy Techniques and Applications #Materials Science (cond-mat.mtrl-sci) #Photoacoustic and Ultrasonic Imaging
  22. Measurements with Noise: Bayesian Optimization for Co-optimizing Noise and Property Discovery in Automated Experiments
    2024/10/03 by Boris N. Slautin, Slautin, Boris N., Yu Liu +11 · 3 citations
    Computer Science · Decision Sciences · Engineering · #Advanced Statistical Process Monitoring #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Physical sciences #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci)
  23. Causal analysis of competing atomistic mechanisms in ferroelectric\n materials from high-resolution Scanning Transmission Electron Microscopy data
    2020/02/11 by Maxim Ziatdinov, Chris Nelson, Ziatdinov, Maxim +13 · 1 citation
    Computer Science · Materials Science · #FOS: Physical sciences #Geochemistry and Geologic Mapping #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Multiferroics and related materials
  24. Building Workflows for Interactive Human in the Loop Automated Experiment (hAE) in STEM-EELS
    2024/04/10 by Utkarsh Pratiush, Kevin M. Roccapriore, Pratiush, Utkarsh +9 · 2 citations
    Materials Science · Biochemistry, Genetics and Molecular Biology · #Electron and X-Ray Spectroscopy Techniques #Machine Learning in Materials Science #Advanced Electron Microscopy Techniques and Applications
  25. Robust Feature Disentanglement in Imaging Data via Joint Invariant Variational Autoencoders: from Cards to Atoms
    2021/04/20 by Maxim Ziatdinov, Sergei V. Kalinin, Ziatdinov, Maxim +1 · 1 citation
    Computer Science · Engineering · #Computational Physics and Python Applications #Data Analysis #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Physical sciences #Hydrocarbon exploration and reservoir analysis #Machine Learning (cs.LG) #Statistics and Probability (physics.data-an)
  26. Combining Variational Autoencoders and Physical Bias for Improved Microscopy Data Analysis
    2023/02/08 by Arpan Biswas, Biswas, Arpan, Maxim Ziatdinov +3 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Engineering · Materials Science · #Advanced Electron Microscopy Techniques and Applications #FOS: Computer and information sciences #FOS: Electrical engineering #Hydrocarbon exploration and reservoir analysis #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning in Materials Science #electronic engineering #information engineering
  27. The strain-induced transitions of the piezoelectric, pyroelectric and electrocaloric properties of the CuInP2S6 films
    2023/09/10 by Anna N. Morozovska, Morozovska, Anna N., Eugene А. Eliseev +13 · 2 citations
    Engineering · Materials Science · #2D Materials and Applications #Acoustic Wave Resonator Technologies #Advanced Sensor and Energy Harvesting Materials #Applied Physics (physics.app-ph) #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci) #Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
  28. Physics-based reward driven image analysis in microscopy
    2024/04/22 by Kamyar Barakati, Hui Yuan, Barakati, Kamyar +5 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Engineering · #Cell Image Analysis Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Image Processing Techniques and Applications #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci)
  29. Microscopy is All You Need
    2022/10/12 by Sergei V. Kalinin, Rama K. Vasudevan, Kalinin, Sergei V. +9 · 1 citation
    Materials Science · Computer Science · Decision Sciences · #Machine Learning in Materials Science #Software Engineering Research #Scientific Computing and Data Management
  30. Delineating complex ferroelectric domain structures via second harmonic generation spectral imaging
    2022/08/09 by Wei Li, Li, Wei, Yunpeng Ma +9 · 1 citation
    Computer Science · Engineering · Physics and Astronomy · #Acoustic Wave Resonator Technologies #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci) #Optical measurement and interference techniques #Optics (physics.optics) #Photorefractive and Nonlinear Optics
  31. Reversible long-range domain wall motion in an improper ferroelectric
    2024/10/13 by Manuel Zahn, A. M. Müller, Zahn, M. +19 · 2 citations
    Engineering · Materials Science · #Acoustic Wave Resonator Technologies #FOS: Physical sciences #Ferroelectric and Piezoelectric Materials #Liquid Crystal Research Advancements #Materials Science (cond-mat.mtrl-sci)
  32. Designing Workflows for Materials Characterization
    2023/02/07 by Sergei V. Kalinin, Kalinin, Sergei V., Maxim Ziatdinov +11 · 1 citation
    Computer Science · Decision Sciences · Materials Science · #FOS: Physical sciences #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Research Data Management Practices #Scientific Computing and Data Management
  33. Phase diagrams and polarization reversal in nanosized HfxZr1-xO2-y
    2024/02/28 by Eugene А. Eliseev, Yuri O. Zagorodniy, Eliseev, Eugene A. +17 · 2 citations
    Materials Science · Engineering · #Ferroelectric and Piezoelectric Materials #Semiconductor materials and devices #Advanced ceramic materials synthesis
  34. Direct Fabrication of Atomically Defined Pores in MXenes
    2023/11/29 by Matthew G. Boebinger, Boebinger, Matthew G., Dündar E. Yılmaz +17 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Engineering · Materials Science · #Advanced biosensing and bioanalysis techniques #FOS: Physical sciences #MXene and MAX Phase Materials #Materials Science (cond-mat.mtrl-sci) #Nanopore and Nanochannel Transport Studies
  35. Active Deep Kernel Learning of Molecular Properties: Realizing Dynamic Structural Embeddings
    2024/03/02 by Ayana Ghosh, Ghosh, Ayana, Ziatdinov, Maxim +2 · 1 citation
    Computer Science · Materials Science · #Chemical Physics (physics.chem-ph) #Computational Drug Discovery Methods #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Statistics and Probability (physics.data-an)
  36. Unsupervised Reward-Driven Image Segmentation in Automated Scanning Transmission Electron Microscopy Experiments
    2024/09/19 by Kamyar Barakati, Barakati, Kamyar, Utkarsh Pratiush +7 · 1 citation
    Materials Science · #Electron and X-Ray Spectroscopy Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci)
  37. Beyond Directed Acyclic Graphs: Causal Zeros and Causal Differential Equations
    2026/07/24 by Sergei V. Kalinin
    #cs.LG