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Learning the right channel in multimodal imaging: automated experiment in piezoresponse force microscopy

npj Computational Materials 2023年第1期9卷 2008-2015页

作者： Yongtao Liu Rama K.Vasudevan kyle p.kelley Hiroshi Funakubo Maxim Ziatdinov Sergei V.Kalinin Center for Nanophase Materials Sciences Oak Ridge National LaboratoryOak RidgeTN 37923USA Department of Materials Science and Engineering Tokyo Institute of TechnologyYokohama 226-8502Japan Computational Sciences and Engineering Division Oak Ridge National LaboratoryOak RidgeTN 37923USA Department of Materials Science and Engineering University of TennesseeKnoxvilleTN 37996USA

We report the development and experimental implementation of the automated experiment workflows for the identification of thebest predictive channel for a phenomenon of interest in spectroscopic measurements. The approach is based on the combinationof ensembled deep kernel learning for probabilistic predictions and a basic reinforcement learning policy for channel selection. Itallows the identification of which of the available observational channels, sampled sequentially, are most predictive of selectedbehaviors, and hence have the strongest correlations. We implement this approach for multimodal imaging in piezoresponse forcemicroscopy (pFM), with the behaviors of interest manifesting in piezoresponse spectroscopy. We illustrate the best predictivechannel for polarization-voltage hysteresis loop and frequency-voltage hysteresis loop areas is amplitude in the model samples. Thesame workflow and code are applicable for any multimodal imaging and local characterization methods.

关键词： automated policy modal

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Tensor factorization for elucidating mechanisms of piezoresponse relaxation via dynamic piezoresponse Force Spectroscopy

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npj Computational Materials 2020年第1期6卷 723-730页

作者： kyle p.kelley Linglong Li Yao Ren Yoshitaka Ehara Hiroshi Funakubo Suhas Somnath Stephen Jesse Ye Cao Ramakrishnan Kannan Rama K.Vasudevan Sergei V.Kalinin Center for Nanophase Materials Sciences Oak Ridge National LaboratoryOak RidgeTN 37831USA Department of physics Tsinghua UniversityBeijingChina Department of Materials Science and Engineering University of Texas at ArlingtonArlingtonTX 76019USA Department of Communications Engineering National Defense AcademyHashirimizuYokosuka 239-8686Japan Department of Material Science and Engineering Tokyo Institute of TechnologyYokohama 226‐8502Japan National Center for Computational Sciences Oak Ridge National LaboratoryOak RidgeTN 37831USA Computer Science and Mathematics Division Oak Ridge National LaboratoryOak RidgeTN 37831USA

Spatially resolved time and voltage-dependent polarization dynamics in pbTiO3 thin films is explored using dynamic piezoresponse force microscopy(D-pFM)in conjunction with interferometric displacement *** approach gives rise to 4D data sets containing information on bias-dependent relaxation dynamics at each spatial location without long-range electrostatic *** interpret these data sets in the absence of defined physical models,we employ a non-negative tensor factorization method which clearly presents the data as a product of simple behaviors allowing for direct physics ***,we perform phase-field modeling finding the existence of‘hard’and‘soft’domain wall *** approach can be extended to other multidimensional spectroscopies for which even exploratory data analysis leads to unsatisfactory results due to many components in the decomposition.

关键词： relaxation factorization dynamic

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Author Correction:Tensor factorization for elucidating mechanisms of piezoresponse relaxation via dynamic piezoresponse Force Spectroscopy

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npj Computational Materials 2020年第1期6卷 538-538页

作者： kyle p.kelley Linglong Li Yao Ren Yoshitaka Ehara Hiroshi Funakubo Suhas Somnath Stephen Jesse Ye Cao Ramakrishnan Kannan Rama K.Vasudevan Sergei V.Kalinin Center for Nanophase Materials Sciences Oak Ridge National Laboratory Oak Ridge USA Department of physics Tsinghua University Beijing China Department of Materials Science and Engineering University of Texas at Arlington Arlington USA Department of Communications Engineering National Defense Academy Hashirimizu Yokosuka Japan Department of Material Science and Engineering Tokyo Institute of Technology Yokohama Japan National Center for Computational Sciences Oak Ridge National Laboratory Oak Ridge USA Computer Science and Mathematics Division Oak Ridge National Laboratory Oak Ridge USA

The original version of this Article did not acknowledge Rama ***(vasudevanrk@***)as a corresponding *** has now been corrected in both the pDF and HTML versions of the Article.

关键词： HTML relaxation knowledge

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