Maxim Ziatdinov

ResearcherID ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 34

Top Venues

ACS nano

Science advances

Nanotechnology

Nature communications

Tokyo Institute of Technology (PHD)

This page only lists publications with an associated author ORCID identifier.

Education History

Tokyo Institute of Technology

Japan

PHD

Publications

Kevin M Roccapriore, Riccardo Torsi, Joshua A Robinson, Sergei V Kalinin, Maxim Ziatdinov
Dynamic STEM-EELS for single-atom and defect measurement during electron beam transformations. Science advances 10 (29) (2024)
Kevin M Roccapriore, Riccardo Torsi, Joshua A Robinson, Sergei V Kalinin, Maxim Ziatdinov
Dynamic STEM-EELS for single-atom and defect measurement during electron beam transformations. Science advances 10 (29) (2024)
Ashish Kumar Gupta, Eva Zarkadoula, Maxim Ziatdinov, Sergei V Kalinin, Vikas Reddy Paduri, Jordan A Hachtel, Yanwen Zhang, Christina Trautmann, William J Weber, Ritesh Sachan
Nanoscale core-shell structure and recrystallization of swift heavy ion tracks in SrTiO 3 . Nanoscale (2024)
Ashish Kumar Gupta, Eva Zarkadoula, Maxim Ziatdinov, Sergei V Kalinin, Vikas Reddy Paduri, Jordan A Hachtel, Yanwen Zhang, Christina Trautmann, William J Weber, Ritesh Sachan
Nanoscale core-shell structure and recrystallization of swift heavy ion tracks in SrTiO 3 . Nanoscale 16 (30) (2024)
Boris N Slautin, Yongtao Liu, Hiroshi Funakubo, Rama K Vasudevan, Maxim Ziatdinov, Sergei V Kalinin
Bayesian Conavigation: Dynamic Designing of the Material Digital Twins via Active Learning. ACS nano (2024)
Yongtao Liu, Jonghee Yang, Benjamin J Lawrie, Kyle P Kelley, Maxim Ziatdinov, Sergei V Kalinin, Mahshid Ahmadi
Disentangling Electronic Transport and Hysteresis at Individual Grain Boundaries in Hybrid Perovskites via Automated Scanning Probe Microscopy. ACS nano 17 (10) (2023)
Martí Checa, Addis S Fuhr, Changhyo Sun, Rama K Vasudevan, Maxim Ziatdinov, Ilia N Ivanov, Seok Joon Yun, Kai Xiao, Alp Sehirlioglu, Yunseok Kim, Pankaj Sharma, Kyle P Kelley, Neus Domingo, Stephen Jesse, Liam Collins
High-speed mapping of surface charge dynamics using sparse scanning Kelvin probe force microscopy. Nature communications 14 (1) (2023)
Yongtao Liu, Jonghee Yang, Benjamin J Lawrie, Kyle P Kelley, Maxim Ziatdinov, Sergei V Kalinin, Mahshid Ahmadi
Disentangling Electronic Transport and Hysteresis at Individual Grain Boundaries in Hybrid Perovskites via Automated Scanning Probe Microscopy. ACS nano (2023)
Yongtao Liu, Jonghee Yang, Rama K Vasudevan, Kyle P Kelley, Maxim Ziatdinov, Sergei V Kalinin, Mahshid Ahmadi
Exploring the Relationship of Microstructure and Conductivity in Metal Halide Perovskites via Active Learning-Driven Automated Scanning Probe Microscopy. The journal of physical chemistry letters (2023)
Muammer Y Yaman, Sergei V Kalinin, Kathryn N Guye, David S Ginger, Maxim Ziatdinov
Learning and Predicting Photonic Responses of Plasmonic Nanoparticle Assemblies via Dual Variational Autoencoders. Small (Weinheim an der Bergstrasse, Germany) (2023)
Miguel Fuentes-Cabrera, Jonathan K Sakkos, Daniel C Ducat, Maxim Ziatdinov
Investigating Carboxysome Morphology Dynamics with a Rotationally Invariant Variational Autoencoder. The journal of physical chemistry. A 126 (30) (2022)
Kevin M Roccapriore, Sergei V Kalinin, Maxim Ziatdinov
Physics Discovery in Nanoplasmonic Systems via Autonomous Experiments in Scanning Transmission Electron Microscopy. Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2022)
Kevin M Roccapriore, Matthew G Boebinger, Ondrej Dyck, Ayana Ghosh, Raymond R Unocic, Sergei V Kalinin, Maxim Ziatdinov
Probing Electron Beam Induced Transformations on a Single-Defect Level via Automated Scanning Transmission Electron Microscopy. ACS nano 16 (10) (2022)
Kevin M Roccapriore, Ondrej Dyck, Mark P Oxley, Maxim Ziatdinov, Sergei V Kalinin
Automated Experiment in 4D-STEM: Exploring Emergent Physics and Structural Behaviors. ACS nano 16 (5) (2022)
Maxim Ziatdinov, Yongtao Liu, Kyle P Kelley, Rama K Vasudevan, Sergei V Kalinin
Bayesian Active Learning for Scanning Probe Microscopy: From Gaussian Processes to Hypothesis Learning. ACS nano 16 (9) (2022)
Sergei V Kalinin, Shuai Zhang, Sai Mani Prudhvi Valleti, Harley Pyles, David Baker, James J De Yoreo, Maxim Ziatdinov
Disentangling Rotational Dynamics and Ordering Transitions in a System of Self-Organizing Protein Nanorods via Rotationally Invariant Latent Representations. ACS nano 15 (4) (2021)
Sergei V Kalinin, Ondrej Dyck, Stephen Jesse, Maxim Ziatdinov
Exploring order parameters and dynamic processes in disordered systems via variational autoencoders. Science advances 7 (17) (2021)
Kevin M Roccapriore, Qiang Zou, Lizhi Zhang, Rui Xue, Jiaqiang Yan, Maxim Ziatdinov, Mingming Fu, David G Mandrus, Mina Yoon, Bobby G Sumpter, Zheng Gai, Sergei V Kalinin
Revealing the Chemical Bonding in Adatom Arrays via Machine Learning of Hyperspectral Scanning Tunneling Spectroscopy Data. ACS nano (2021)
Kamal Choudhary, Kevin F Garrity, Charles Camp, Sergei V Kalinin, Rama Vasudevan, Maxim Ziatdinov, Francesca Tavazza
Computational scanning tunneling microscope image database. Scientific data 8 (1) (2021)
Kate Higgins, Maxim Ziatdinov, Sergei V Kalinin, Mahshid Ahmadi
High-Throughput Study of Antisolvents on the Stability of Multicomponent Metal Halide Perovskites through Robotics-Based Synthesis and Machine Learning Approaches. Journal of the American Chemical Society 143 (47) (2021)
Sergei V Kalinin, James J Steffes, Yongtao Liu, Bryan D Huey, Maxim Ziatdinov
Disentangling ferroelectric domain wall geometries and pathways in dynamic piezoresponse force microscopy via unsupervised machine learning. Nanotechnology 33 (5) (2021)
Sai Mani Prudhvi Valleti, Qiang Zou, Rui Xue, Lukas Vlcek, Maxim Ziatdinov, Rama K Vasudevan, Mingming Fu, Jiaqiang Yan, David G Mandrus, Zheng Gai, Sergei V Kalinin
Bayesian Learning of Adatom Interactions from Atomically Resolved Imaging Data. ACS nano 15 (6) (2021)
Rama K Vasudevan, Kyle P Kelley, Jacob Hinkle, Hiroshi Funakubo, Stephen Jesse, Sergei V Kalinin, Maxim Ziatdinov
Autonomous Experiments in Scanning Probe Microscopy and Spectroscopy: Choosing Where to Explore Polarization Dynamics in Ferroelectrics. ACS nano (2021)
Rama K Vasudevan, Ayana Ghosh, Maxim Ziatdinov, Sergei V Kalinin
Exploring electron beam induced atomic assembly via reinforcement learning in a molecular dynamics environment. Nanotechnology (2021)
Sergei V Kalinin, Kyle P Kelley, Rama K Vasudevan, Maxim Ziatdinov
Toward Decoding the Relationship between Domain Structure and Functionality in Ferroelectrics via Hidden Latent Variables. ACS applied materials & interfaces 13 (1) (2021)
Kevin M Roccapriore, Maxim Ziatdinov, Shin Hum Cho, Jordan A Hachtel, Sergei V Kalinin
Predictability of Localized Plasmonic Responses in Nanoparticle Assemblies. Small (Weinheim an der Bergstrasse, Germany) 17 (21) (2021)
Yongtao Liu, Maxim Ziatdinov, Sergei V Kalinin
Exploring Causal Physical Mechanisms via Non-Gaussian Linear Models and Deep Kernel Learning: Applications for Ferroelectric Domain Structures. ACS nano 16 (1) (2021)
Sergei V Kalinin, Maxim Ziatdinov, Jacob Hinkle, Stephen Jesse, Ayana Ghosh, Kyle P Kelley, Andrew R Lupini, Bobby G Sumpter, Rama K Vasudevan
Automated and Autonomous Experiments in Electron and Scanning Probe Microscopy. ACS nano (2021)
Maxim Ziatdinov, Shuai Zhang, Orion Dollar, Jim Pfaendtner, Christopher J Mundy, Xin Li, Harley Pyles, David Baker, James J De Yoreo, Sergei V Kalinin
Quantifying the Dynamics of Protein Self-Organization Using Deep Learning Analysis of Atomic Force Microscopy Data. Nano letters 21 (1) (2020)
Christopher T Nelson, Rama K Vasudevan, Xiaohang Zhang, Maxim Ziatdinov, Eugene A Eliseev, Ichiro Takeuchi, Anna N Morozovska, Sergei V Kalinin
Exploring physics of ferroelectric domain walls via Bayesian analysis of atomically resolved STEM data. Nature communications 11 (1) (2020)
Sergei V Kalinin, Ondrej Dyck, Nina Balke Wisinger, Sabine M Neumayer, Wan-Yu Tsai, Rama Vasudevan, David B Lingerfelt, Mahshid Ahmadi, Maxim Ziatdinov, Matthew T McDowell, Evgheni Strelcov
Toward Electrochemical Studies on the Nanometer and Atomic Scales: Progress, Challenges, and Opportunities. ACS nano 13 (9) (2019)
Maxim Ziatdinov, Ondrej Dyck, Xin Li, Bobby G Sumpter, Stephen Jesse, Rama K Vasudevan, Sergei V Kalinin
Building and exploring libraries of atomic defects in graphene: Scanning transmission electron and scanning tunneling microscopy study. Science advances 5 (9) (2019)
Lukas Vlcek, Maxim Ziatdinov, Artem B Maksov, Alexander Tselev, Arthur P Baddorf, Sergei V Kalinin, Rama K Vasudevan
Learning from Imperfections: Predicting Structure and Thermodynamics from Atomic Imaging of Fluctuations. ACS nano 13 (1) (2019)
Maxim Ziatdinov, Ondrej Dyck, Artem B Maksov, Xufan Li, Xiahan Sang, Kai Xiao, Raymond R Unocic, Rama Vasudevan, Stephen Jesse, Sergei V Kalinin
Deep Learning of Atomically Resolved Scanning Transmission Electron Microscopy Images: Chemical Identification and Tracking Local Transformations. ACS nano 11 (12) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Maxim Ziatdinov