Off-the-shelf deep learning is not enough, and requires parsimony, Bayesianity, and causality

por Rama K. Vasudevan, Maxim Ziatdinov, Lukas Vlcek, Sergei V. Kalinin
Publicado 2021

Gaussian process analysis of electron energy loss spectroscopy data: multivariate reconstruction and kernel control

por Sergei V. Kalinin, Andrew R. Lupini, Rama K. Vasudevan, Maxim Ziatdinov
Publicado 2021

Exploring physics of ferroelectric domain walls via Bayesian analysis of atomically resolved STEM data

por Christopher T. Nelson, Rama K. Vasudevan, Xiaohang Zhang, Maxim Ziatdinov, Eugene A. Eliseev, Ichiro Takeuchi, Anna N. Morozovska, Sergei V. Kalinin
Publicado 2020

Thermodynamics of order and randomness in dopant distributions inferred from atomically resolved imaging

por Lukas Vlcek, Shize Yang, Yongji Gong, Pulickel Ajayan, Wu Zhou, Matthew F. Chisholm, Maxim Ziatdinov, Rama K. Vasudevan, Sergei V. Kalinin
Publicado 2021

Non-conventional mechanism of ferroelectric fatigue via cation migration

por Anton V. Ievlev, Santosh KC, Rama K. Vasudevan, Yunseok Kim, Xiaoli Lu, Marin Alexe, Valentino R. Cooper, Sergei V. Kalinin, Olga S. Ovchinnikova
Publicado 2019

Deep Bayesian local crystallography

por Sergei V. Kalinin, Mark P. Oxley, Mani Valleti, Junjie Zhang, Raphael P. Hermann, Hong Zheng, Wenrui Zhang, Gyula Eres, Rama K. Vasudevan, Maxim Ziatdinov
Publicado 2021

Field enhancement of electronic conductance at ferroelectric domain walls

por Rama K. Vasudevan, Ye Cao, Nouamane Laanait, Anton Ievlev, Linglong Li, Jan-Chi Yang, Ying-Hao Chu, Long-Qing Chen, Sergei V. Kalinin, Petro Maksymovych
Publicado 2017

Revealing ferroelectric switching character using deep recurrent neural networks

por Joshua C. Agar, Brett Naul, Shishir Pandya, Stefan van der Walt, Joshua Maher, Yao Ren, Long-Qing Chen, Sergei V. Kalinin, Rama K. Vasudevan, Ye Cao, Joshua S. Bloom, Lane W. Martin
Publicado 2019