Skip to content Skip to main navigation Report an accessibility issue

Publications

Google Scholar

2025

(1)
Ziatdinov, M.; Roccapriore, K.; Kelley, K.; ... Machine Learning-Driven Operation of Instrumentation with Human in the Loop. US Patent … 2025.
(1)
Kalinin, S. AI, Microscopes, and the Quest for Better Materials. ARROWS Workshop 2025.
(1)
Yoreo, J. D.; Schmid, S.; Helfrecht, B.; Stegmann, A.; ... Impact of Colloidal Forces and Broken Symmetry on the Design of a Protein-Material Interface; researchsquare.com, 2025.
(1)
Schofield, S.; Fisher, A.; Ginossar, E.; Lyding, J.; ... Roadmap on Atomic-Scale Semiconductor Devices. Nano … 2025. https://doi.org/10.1088/2399-1984/ada901.
(1)
Slautin, B.; Pratiush, U.; Lupascu, D.; ... Integrating Predictive and Generative Capabilities by Latent Space Design via the DKL-VAE Model. arXiv preprint arXiv … 2025.
(1)
Slautin, B.; Liu, Y.; Barakati, K.; Liu, Y.; Emery, R.; ... Materials Discovery in Combinatorial and High-Throughput Synthesis and Processing: A New Frontier for SPM. arXiv preprint arXiv … 2025.
(1)
Liu, Y.; Kalinin, S. The Power of the Pareto Front: Balancing Uncertain Rewards for Adaptive Experimentation in Scanning Probe Microscopy. arXiv preprint arXiv:2504.06525 2025.
(1)
Banerjee, S.; Meng, Y.; Minor, A.; Zhang, M.; Zaluzec, N.; ... Materials Laboratories of the Future for Alloys, Amorphous, and Composite Materials. MRS Bulletin 2025. https://doi.org/10.1557/s43577-024-00846-y.
(1)
Barakati, K.; Liu, Y.; Pratiush, U.; Slautin, B.; ... Rewards-Based Image Analysis in Microscopy. arXiv preprint arXiv … 2025.
(1)
Barakati, K.; Molak, A.; Nelson, C.; Zhang, X.; ... Causal Discovery from Data Assisted by Large Language Models. arXiv preprint arXiv … 2025.
(1)
Al-Najjar, A.; Rao, N.; Sankaran, R.; ... Design-to-Deployment Continuum Platform for Microscopes and Computing Ecosystems. IEEE Transactions … 2025.
(1)
Liu, Y.; Slautin, B.; Bemis, J.; Proksch, R.; Pant, R.; ... Reward Based Optimization of Resonance-Enhanced Piezoresponse Spectroscopy. Applied Physics … 2025.
(1)
Yang, J.; Fuhr, A.; Shin, S.; Roccapriore, K.; ... Ligand-Induced Self-Assembly of Twisted Two-Dimensional Halide Perovskites. Nature … 2025.
(1)
Pratiush, U.; Funakubo, H.; Vasudevan, R.; Kalinin, S.; ... Scientific Exploration with Expert Knowledge (SEEK) in Autonomous Scanning Probe Microscopy with Active Learning. Digital … 2025.
(1)
Eliseev, E.; Kalinin, S.; Morozovska, A. Ferro-Ionic States and Domains Morphology in HfxZr1− XO2 Nanoparticles. Journal of Applied Physics 2025.
(1)
Slautin, B.; Liu, Y.; Dec, J.; Shvartsman, V.; ... Measurements with Noise: Bayesian Optimization for Co-Optimizing Noise and Property Discovery in Automated Experiments. Digital … 2025.
(1)
Pratiush, U.; Roccapriore, K.; Liu, Y.; Duscher, G.; ... Building Workflows for an Interactive Human-in-the-Loop Automated Experiment (HAE) in STEM-EELS. Digital … 2025.
(1)
Kalinin, S.; Eliseev, E.; Morozovska, A. Adsorption of Ions from Aqueous Solutions by Ferroelectric Nanoparticles. Physical Review Applied 2025. https://doi.org/10.1103/PhysRevApplied.23.014081.
(1)
Malica, C.; Novoselov, K.; Barnard, A.; ... Artificial Intelligence for Advanced Functional Materials: Exploring Current and Future Directions. Journal of Physics … 2025. https://doi.org/10.1088/2515-7639/adc29d.
(1)
Zahn, M.; Müller, A.; Kelley, K.; Neumayer, S.; ... Reversible Long-Range Domain Wall Motion in an Improper Ferroelectric. Nature … 2025.
(1)
Morozovska, A.; Eliseev, E.; ... Size Effect of Negative Capacitance State and Subthreshold Swing in van Der Waals Ferrielectric Field‐effect Transistors. Advanced Electronic … 2025. https://doi.org/10.1002/aelm.202400495.
(1)
Um, M.; Sanchez, S.; Song, H.; Lawrie, B.; ... Tailoring Molecular Space to Navigate Phase Complexity in Cs‐based Quasi‐2D Perovskites via Gated‐gaussian‐driven High‐throughput Discovery. Advanced Energy … 2025. https://doi.org/10.1002/aenm.202404655.
(1)
Canty, R.; Bennett, J.; Brown, K.; Buonassisi, T.; ... Science Acceleration and Accessibility with Self-Driving Labs. Nature … 2025.

2024

(1)
Ziatdinov, M.; Roccapriore, K.; Yongtao, L.; ... Science-Driven Automated Experiments. US Patent … 2024.
(1)
Roccapriore, K.; Ziatdinov, M.; Lupini, A.; ... Discovering Invariant Spatial Features in Electron Energy Loss Spectroscopy Images on the Mesoscopic and Atomic Levels. Journal of Applied … 2024.
(1)
Pratiush, U.; Yao, J.; Checa, M.; Liu, Y.; Kalinin, S.; Liu, Y. Constrained DKL to Accelerate Structure-Property Relationship Discovery in Automated Electron and Scanning Probe Microscopy; academic.oup.com, 2024. https://doi.org/10.1093/mam/ozae044.1021/58643137/ozae044.1021.
(1)
Barakati, K.; Zhang, X.; Wang, X.; Kalinin, S. Machine Learning-Enhanced TEM Image Analysis Techniques; academic.oup.com, 2024. https://doi.org/10.1093/mam/ozae044.1027/58643032/ozae044.1027.
(1)
Raghavan, A.; Pant, R.; Takeuchi, I.; Eliseev, E.; Checa, M.; ... JOINT APPOINTEE: Evolution of Ferroelectric Properties in SmxBi1-XFeO3 via Automated Piezoresponse Force Microscopy across Combinatorial Spread Libraries. ACS Nano 2024.
(1)
Pratiush, U.; Roccapriore, K.; Liu, Y.; Kalinin, S.; ... Realizing Smart STEM via Machine Learning on Remote High Performance Computer; academic.oup.com, 2024.
(1)
Liu, R.; Pirie, H.; Matt, C.; Chen, P.; Hoffman, J.; Kalinin, S. Human-in-the-Loop Automated Experiment Simulated with Scanning Tunneling Microscopy; academic.oup.com, 2024.
(1)
Ghosh, A.; Roccapriore, K.; Boebinger, M.; Mukherjee, D.; ... Integrating High-Performance Computing with Electron Microscopy for Scientific Insights; academic.oup.com, 2024. https://doi.org/10.1093/mam/ozae044.162/58670503/ozae044.162.
(1)
Boebinger, M.; Roccapriore, K.; Ghosh, A.; Xiao, K.; ... Precision Defect Engineering in 2D Materials via Automated STEM Atomic Fabrication; academic.oup.com, 2024. https://doi.org/10.1093/mam/ozae044.163/58670392/ozae044.163.
(1)
Barakati, K.; Yuan, H.; Goyal, A.; Kalinin, S. Reward Driven Image Analysis Workflow in Static and Active Learning; academic.oup.com, 2024.
(1)
Roccapriore, K.; Schwarzer, M.; Greaves, J.; ... The Position Dependence of Electron Beam Induced Effects in 2D Materials with Deep Neural Networks; academic.oup.com, 2024. https://doi.org/10.1093/mam/ozae044.190/58636263/ozae044.190.
(1)
Valleti, M.; Raghavan, A.; Kalinin, S. Rapid Optimization in High Dimensional Space by Deep Kernel Learning Augmented Genetic Algorithms. arXiv preprint arXiv:2410.03173 2024.
(1)
Kenney, M.; Malollari, K.; Kalinin, S.; ... Predicting Battery Capacity Fade Using Probabilistic Machine Learning Models with and without Pre-Trained Priors. arXiv preprint arXiv … 2024.
(1)
Kalinin, S.; Slautin, B.; Liu, Y.; Hunakubo, H.; ... Synergizing Theoretical Model Development and Experimentation through the Bayesian Co-Navigation Workflow; academic.oup.com, 2024. https://doi.org/10.1093/mam/ozae044.165/58635493/ozae044.165.
(1)
Liu, Y.; Pant, R.; Takeuchi, I.; Spurling, R.; Maria, J.; ... Automated Materials Discovery Platform Realized: Scanning Probe Microscopy of Combinatorial Libraries. arXiv preprint arXiv … 2024.
(1)
Liu, R.; Pratiush, U.; Bemis, J.; Proksch, R.; Kalinin, S. Automating Experiments with Scanning Probe Microscopy; academic.oup.com, 2024.
(1)
Barakati, K.; Liu, Y.; Nelson, C.; Ziatdinov, M.; ... Reward Driven Workflows for Unsupervised Explainable Analysis of Phases and Ferroic Variants from Atomically Resolved Imaging Data. arXiv preprint arXiv … 2024.
(1)
Ghosh, A.; Ziatdinov, M.; Kalinin, S. Active Deep Kernel Learning of Molecular Functionalities: Realizing Dynamic Structural Embeddings. arXiv preprint arXiv:2403.01234 2024.
(1)
Biswas, A.; Valleti, M.; ... Toward Accelerating Discovery via Physics-Driven and Interactive Multifidelity Bayesian Optimization. Journal of … 2024.
(1)
Liu, Y.; Huey, B.; Ziatdinov, M.; Kalinin, S. Physical Discovery in Representation Learning via Conditioning on Prior Knowledge. Journal of Applied Physics 2024.
(1)
Slautin, B.; Pratiush, U.; Ivanov, I.; Liu, Y.; Pant, R.; ... Multimodal Co-Orchestration for Exploring Structure-Property Relationships in Combinatorial Libraries via Multi-Task Bayesian Optimization. arXiv e … 2024.
(1)
Liu, Y.; Ievlev, A.; Casamento, J.; Hayden, J.; ... The Interplay between Ferroelectricity and Electrochemical Reactivity on the Surface of Binary Ferroelectric AlxB1‐xN. Advanced Electronic … 2024. https://doi.org/10.1002/aelm.202300489.
(1)
Kalinin, S.; Eliseev, E.; Morozovska, A. Water Desalination by Ferroelectric Nanoparticles. arXiv preprint arXiv:2409.07318 2024.
(1)
Gupta, A.; Zarkadoula, E.; Ziatdinov, M.; Kalinin, S.; ... Nanoscale Core–Shell Structure and Recrystallization of Swift Heavy Ion Tracks in SrTiO 3. Nanoscale 2024.
(1)
Ziatdinov, M.; Yaman, M.; Liu, Y.; Ginger, D.; ... Semi-Supervised Learning of Images with Strong Rotational Disorder: Assembling Nanoparticle Libraries. Digital … 2024.
(1)
Foadian, E.; Sanchez, S.; Kalinin, S.; Ahmadi, M. From Sunlight to Solutions: Closing the Loop on Halide Perovskites. ACS Materials Au 2024. https://doi.org/10.1021/acsmaterialsau.4c00096.
(1)
Barakati, K.; Pratiush, U.; Houston, A.; Duscher, G.; ... Unsupervised Reward-Driven Image Segmentation in Automated Scanning Transmission Electron Microscopy Experiments. arXiv preprint arXiv … 2024.
(1)
Kalinin, S.; Slautin, B.; Pratiush, U.; Ivanov, I.; Liu, Y.; ... Multimodal Co-Orchestration for Exploring Structure-Property Relationships in Combinatorial Libraries via Multi-Task Bayesian Optimization; academic.oup.com, 2024. https://doi.org/10.1093/mam/ozae044.157/58671829/ozae044.157.
(1)
Smith, B.; Pant, B.; Liu, Y.; Liu, Y.; Yang, J.; Jesse, S.; ... Physics-Informed Models of Domain Wall Dynamics as a Route for Autonomous Domain Wall Design via Reinforcement Learning. Digital … 2024.
(1)
Butler, K.; Choudhary, K.; Csanyi, G.; ... Setting Standards for Data Driven Materials Science. npj Computational … 2024.
(1)
Guo, Y.; Miao, H.; Zou, Q.; Fu, M.; Sefat, A.; Lupini, A.; ... Towards Revealing Intrinsic Vortex-Core States in Fe-Based Superconductors through Statistical Discovery. 2D … 2024. https://doi.org/10.1088/2053-1583/ad5e92.
(1)
Eliseev, E.; Zagorodniy, Y.; Pavlikov, V.; ... Phase Diagrams and Polarization Reversal in Nanosized HfxZr1− XO2− y. AIP Advances 2024.
(1)
Valleti, M.; Ziatdinov, M.; Liu, Y.; Kalinin, S. Physics and Chemistry from Parsimonious Representations: Image Analysis via Invariant Variational Autoencoders. npj Computational Materials 2024.
(1)
Barakati, K.; Yuan, H.; Goyal, A.; Kalinin, S. Physics-Based Reward Driven Image Analysis in Microscopy. Digital Discovery 2024.
(1)
Morozovska, A.; Eliseev, E.; Fesych, I.; Zagorodniy, Y.; ... Reentrant Polar Phase Induced by the Ferroionic Coupling in Nanoparticles. Physical Review B 2024. https://doi.org/10.1103/PhysRevB.110.224110.
(1)
Pratiush, U.; Houston, A.; Kalinin, S.; ... Implementing Dynamic High-Performance Computing Supported Workflows on Scanning Transmission Electron Microscope. arXiv preprint arXiv … 2024.
(1)
Boebinger, M.; Ghosh, A.; Roccapriore, K.; ... Exploring Electron-Beam Induced Modifications of Materials with Machine-Learning Assisted High Temporal Resolution Electron Microscopy. npj Computational … 2024.
(1)
Biswas, A.; Valleti, S.; Vasudevan, R.; ... Towards Accelerating Physical Discovery via Non-Interactive and Interactive Multi-Fidelity Bayesian Optimization: Current Challenges and Future Opportunities. arXiv preprint arXiv … 2024.
(1)
Pratiush, U.; Houston, A.; Kalinin, S.; ... Realizing Smart Scanning Transmission Electron Microscopy Using High Performance Computing. Review of Scientific … 2024.
(1)
Slautin, B.; Liu, Y.; Funakubo, H.; Kalinin, S. Unraveling the Impact of Initial Choices and In-Loop Interventions on Learning Dynamics in Autonomous Scanning Probe Microscopy. Journal of Applied Physics 2024.
(1)
Yang, J.; Ievlev, A.; Morozovska, A.; ... Coexistence and Interplay of Two Ferroelectric Mechanisms in Zn1‐xMgxO. Advanced … 2024. https://doi.org/10.1002/adma.202404925.
(1)
Slautin, B.; Pratiush, U.; Ivanov, I.; Liu, Y.; Pant, R.; ... Co-Orchestration of Multiple Instruments to Uncover Structure–Property Relationships in Combinatorial Libraries. Digital … 2024.
(1)
Valleti, M.; Vasudevan, R.; Ziatdinov, M.; ... Deep Kernel Methods Learn Better: From Cards to Process Optimization. … Learning: Science and … 2024. https://doi.org/10.1088/2632-2153/ad1a4f.
(1)
Morozovska, A.; Eliseev, E.; Liu, Y.; Kelley, K.; Ghosh, A.; ... Bending-Induced Isostructural Transitions in Ultrathin Layers of van Der Waals Ferrielectrics. Acta Materialia 2024.
(1)
Morozovska, A.; Kalinin, S.; Eliseev, E.; Kopyl, S.; ... Ferri-Ionic Coupling in Nanoflakes: Polarization States and Controllable Negative Capacitance. Physical Review … 2024. https://doi.org/10.1103/PhysRevApplied.22.034059.
(1)
Liu, Y.; Pratiush, U.; Bemis, J.; Proksch, R.; ... Integration of Scanning Probe Microscope with High-Performance Computing: Fixed-Policy and Reward-Driven Workflows Implementation. Review of Scientific … 2024.
(1)
Kalinin, S.; Ziatdinov, M.; Ahmadi, M.; Ghosh, A.; ... Designing Workflows for Materials Characterization. Applied Physics … 2024.
(1)
Boebinger, M.; Yilmaz, D.; Ghosh, A.; Misra, S.; ... Direct Fabrication of Atomically Defined Pores in Mxenes Using Feedback‐driven STEM. Small … 2024. https://doi.org/10.1002/smtd.202400203.
(1)
Yang, J.; Hidalgo, J.; Song, D.; Kalinin, S.; ... Accelerating Materials Discovery by High‐throughput GIWAXS Characterization of Quasi‐2D Formamidinium Metal Halide Perovskites. Advanced Functional … 2024. https://doi.org/10.1002/adfm.202409293.
(1)
Eliseev, E.; Morozovska, A.; Kalinin, S.; Evans, D. Strain-Induced Polarization Enhancement in Core-Shell Nanoparticles. Physical Review B 2024. https://doi.org/10.1103/PhysRevB.109.014104.

2023

(1)
Roccapriore, K.; Vasudevan, R.; Ziatdinov, M.; Kalinin, S. Automated Experiment and Big Data Methods in Praxis of 4D STEM; academic.oup.com, 2023.
(1)
Liu, Y.; Ievlev, A.; Casamento, J.; Hayden, J.; ... The Interplay between Ferroelectricity and Electrochemical Reactivity on the Surface of Binary Ferroelectric Al; mri.psu.edu, 2023.
(1)
Morozovska, A.; Strikha, M.; Kelley, K.; Kalinin, S.; ... Charge-Polarization Coupling in the Nanostructure" Thin Hf Zr O Film-Graphene". arXiv e … 2023. Download
(1)
Boebinger, M.; Roccapriore, K.; Ghosh, A.; Xiao, K.; ... Fabrication of Atomic-Scale Defect Structures within 2D Materials through Automated Electron Beam Control; academic.oup.com, 2023. Download
(1)
Guo, Y.; Miao, H.; Zou, Q.; Fu, M.; Sefat, A.; ... Revealing Intrinsic Vortex-Core States in Fe-Based Superconductors through Machine-Learning-Driven Discovery. arXiv preprint arXiv … 2023. Download
(1)
Roccapriore, K.; Ziatdinov, M.; Torsi, R.; Robinson, J.; ... Measuring Single Atomic Defects in 2D Materials with Off-Axis EELS Using Real-Time AI-Driven Detection; academic.oup.com, 2023. Download
(1)
Kalinin, S.; Liu, Y.; Vasudevan, R.; Ziatdinov, M.; ... Post-Experiment Forensics and Human-in-the-Loop Interventions in Explainable Autonomous Scanning Transmission Electron Microscopy; academic.oup.com, 2023.
(1)
Morozovska, A.; Strikha, M.; Kelley, K.; ... An Effective Landau-Type Model of HfZrO Thin Film - Graphene Nanostructure. arXiv preprint arXiv … 2023. Download
(1)
Yang, J.; Lawrie, B.; Kalinin, S.; ... High‐throughput Automated Exploration of Phase Growth Behaviors in Quasi‐2D Formamidinium Metal Halide Perovskites (Adv. Energy Mater. 43/2023). Advanced Energy … 2023.
(1)
Boebinger, M.; Ghosh, A.; Roccapriore, K.; ... When the Atoms Dance: Exploring Mechanisms of Electron-Beam Induced Modifications of Materials with Machine-Learning Assisted High Temporal Resolution Electron …. arXiv preprint arXiv … 2023. Download
(1)
Boebinger, M.; Yilmaz, D.; Ghosh, A.; Misra, S.; ... Direct Fabrication of Atomically Defined Pores in Mxenes. arXiv preprint arXiv … 2023. Download
(1)
Kelley, K.; Kalinin, S.; Eliseev, E.; ... Probing Temperature‐induced Phase Transitions at Individual Ferroelectric Domain Walls. Advanced Electronic … 2023. https://doi.org/10.1002/aelm.202200552. Download
(1)
Roccapriore, K.; Schwarzer, M.; Greaves, J.; ... Discovering the Electron Beam Induced Transition Rates for Silicon Dopants in Graphene with Deep Neural Networks in the STEM; academic.oup.com, 2023. Download
(1)
Ziatdinov, M.; Wong, C.; Kalinin, S. Finding Simplicity: Unsupervised Discovery of Features, Patterns, and Order Parameters via Shift-Invariant Variational Autoencoders. Machine Learning: Science … 2023. https://doi.org/10.1088/2632-2153/ad073b.
(1)
Biswas, A.; Ziatdinov, M.; Kalinin, S. Combining Variational Autoencoders and Physical Bias for Improved Microscopy Data Analysis∗. Machine Learning: Science … 2023. https://doi.org/10.1088/2632-2153/acf6a9.
(1)
Liu, Y.; Kelley, K.; Vasudevan, R.; Ziatdinov, M.; ... Machine Learning-Driven Autonomous Microscopy for Materials and Physics Discovery; academic.oup.com, 2023. Download
(1)
Sanchez, S.; Liu, Y.; Yang, J.; Kalinin, S.; ... Exploring the Evolution of Metal Halide Perovskites via Latent Representations of the Photoluminescent Spectra. Advanced Intelligent … 2023. https://doi.org/10.1002/aisy.202200340. Download
(1)
Biswas, A.; Liu, Y.; Creange, N.; Liu, Y.; Jesse, S.; ... A Dynamic Bayesian Optimized Active Recommender System for Curiosity-Driven Human-in-the-Loop Automated Experiments. arXiv preprint arXiv … 2023. Download
(1)
Yao, J.; Liu, Y.; Ding, S.; Zhu, Y.; Mao, Z.; Kalinin, S.; ... Ferroelectric Schottky Diodes of CuInP2S6 Nanosheet. Applied Physics … 2023.
(1)
Morozovska, A.; Eliseev, E.; Yurchenko, L.; ... The Strain-Induced Transitions of the Piezoelectric, Pyroelectric, and Electrocaloric Properties of the CuInP2S6 Films. AIP Advances 2023.
(1)
Roccapriore, K.; Boebinger, M.; Klein, J.; Weile, M.; ... AI-Enabled Automation of Atomic Manipulation and Characterization in the STEM; academic.oup.com, 2023. Download
(1)
Padhy, S.; Kalinin, S. Domain Hyper-Languages Bring Robots Together and Enable the Machine Learning Community. Device 2023.
(1)
Yang, J.; Kalinin, S.; Cubuk, E.; Ziatdinov, M.; Ahmadi, M. Toward Self-Organizing Low-Dimensional Organic–Inorganic Hybrid Perovskites: Machine Learning-Driven Co-Navigation of Chemical and Compositional Spaces. MRS Bulletin 2023. https://doi.org/10.1557/s43577-023-00490-y.
(1)
Liu, Y.; Ziatdinov, M.; Vasudevan, R.; Kalinin, S. Post-Experiment Forensics and Human-in-the-Loop Interventions in Explainable Autonomous Scanning Probe Microscopy. arXiv preprint arXiv … 2023. Download
(1)
Biswas, A.; Vasudevan, R.; Ziatdinov, M.; ... Optimizing Training Trajectories in Variational Autoencoders via Latent Bayesian Optimization Approach. … Learning: Science and … 2023. https://doi.org/10.1088/2632-2153/acb316.
(1)
Ghosh, A.; Kalinin, S.; Ziatdinov, M. Discovery of Structure–Property Relations for Molecules via Hypothesis-Driven Active Learning over the Chemical Space. APL Machine Learning 2023.
(1)
Morozovska, A.; Strikha, M.; Kelley, K.; Kalinin, S.; ... Effective Landau-Type Model of a -Graphene Nanostructure. Physical Review … 2023. https://doi.org/10.1103/PhysRevApplied.20.054007. Download
(1)
Morozovska, A.; Eliseev, E.; Ghosh, A.; Yelisieiev, M.; ... Anomalous Polarization Reversal in Strained Thin Films Of. Physical Review B 2023. https://doi.org/10.1103/PhysRevB.108.054107. Download
(1)
Kalinin, S.; Dyck, O.; Ghosh, A.; Liu, Y.; Sumpter, B.; ... Unsupervised Machine Learning Discovery of Structural Units and Transformation Pathways from Imaging Data. APL Machine … 2023.
(1)
Volpe, G.; Wählby, C.; Tian, L.; Hecht, M.; Yakimovich, A.; ... Roadmap on Deep Learning for Microscopy. ArXiv 2023.
(1)
Liu, Y.; Vasudevan, R.; Kelley, K.; Funakubo, H.; ... Learning the Right Channel in Multimodal Imaging: Automated Experiment in Piezoresponse Force Microscopy. npj Computational … 2023.
(1)
Yaman, M.; Kalinin, S.; Guye, K.; Ginger, D.; ... Learning and Predicting Photonic Responses of Plasmonic Nanoparticle Assemblies via Dual Variational Autoencoders. Small 2023. https://doi.org/10.1002/smll.202205893. Download
(1)
Liu, Y.; Yang, J.; Lawrie, B.; Kelley, K.; Ziatdinov, M.; ... Disentangling Electronic Transport and Hysteresis at Individual Grain Boundaries in Hybrid Perovskites via Automated Scanning Probe Microscopy. ACS … 2023. https://doi.org/10.1021/acsnano.3c03363. Download
(1)
Akbashev, A.; Kalinin, S. Tackling Overpublishing by Moving to Open-Ended Papers. nature materials 2023.
(1)
Liu, Y.; Ziatdinov, M.; Vasudevan, R.; Kalinin, S. Explainability and Human Intervention in Autonomous Scanning Probe Microscopy. Patterns 2023.
(1)
Kalinin, S.; Vasudevan, R.; Liu, Y.; Ghosh, A.; ... Probe Microscopy Is All You Need. Machine Learning … 2023. https://doi.org/10.1088/2632-2153/acccd5.
(1)
Li, W.; Ma, Y.; Feng, T.; Du, Z.; Liu, Y.; Kalinin, S.; Li, J.; ... Delineating Complex Ferroelectric Domain Structures via Second Harmonic Generation Spectral Imaging. Journal of … 2023.
(1)
Yang, J.; Lawrie, B.; Kalinin, S.; ... High‐throughput Automated Exploration of Phase Growth Behaviors in Quasi‐2D Formamidinium Metal Halide Perovskites. Advanced Energy … 2023. https://doi.org/10.1002/aenm.202302337. Download
(1)
Liu, Y.; Morozovska, A.; Eliseev, E.; Kelley, K.; ... Autonomous Scanning Probe Microscopy with Hypothesis Learning: Exploring the Physics of Domain Switching in Ferroelectric Materials. Patterns 2023.
(1)
Liu, Y.; Yang, J.; Vasudevan, R.; Kelley, K.; ... Exploring the Relationship of Microstructure and Conductivity in Metal Halide Perovskites via Active Learning-Driven Automated Scanning Probe Microscopy. The Journal of … 2023. https://doi.org/10.1021/acs.jpclett.3c00223.
(1)
Yang, J.; LaFollette, D.; Lawrie, B.; ... Understanding the Role of Cesium on Chemical Complexity in Methylammonium‐free Metal Halide Perovskites. Advanced Energy … 2023. https://doi.org/10.1002/aenm.202202880. Download
(1)
Kelley, K.; Morozovska, A.; Eliseev, E.; Liu, Y.; ... Ferroelectricity in Hafnia Controlled via Surface Electrochemical State. Nature Materials 2023.
(1)
Kalinin, S.; Mukherjee, D.; Roccapriore, K.; ... Machine Learning for Automated Experimentation in Scanning Transmission Electron Microscopy. npj Computational … 2023.

The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway.