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Enhanced electric conductivity at ferroelectric vortex cores in BiFeO<sub>3</sub>.
- Published in:
- Nature Physics, 2012, v. 8, n. 1, p. 81, doi. 10.1038/nphys2132
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- Article
Acoustic Detection of Phase Transitions at the Nanoscale.
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- Advanced Functional Materials, 2016, v. 26, n. 4, p. 478, doi. 10.1002/adfm.201504407
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- Article
Acoustic Detection: Acoustic Detection of Phase Transitions at the Nanoscale (Adv. Funct. Mater. 4/2016).
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- Advanced Functional Materials, 2016, v. 26, n. 4, p. 470, doi. 10.1002/adfm.201670023
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- Article
Domain Wall Conduction and Polarization-Mediated Transport in Ferroelectrics.
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- Advanced Functional Materials, 2013, v. 23, n. 20, p. 2592, doi. 10.1002/adfm.201300085
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- Article
Polarization Dynamics in Ferroelectric Capacitors: Local Perspective on Emergent Collective Behavior and Memory Effects.
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- Advanced Functional Materials, 2013, v. 23, n. 20, p. 2490, doi. 10.1002/adfm.201203422
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- Article
Nanoscale Origins of Nonlinear Behavior in Ferroic Thin Films.
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- Advanced Functional Materials, 2013, v. 23, n. 1, p. 81, doi. 10.1002/adfm.201201025
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- Article
Synergizing Theoretical Model Development and Experimentation through the Bayesian Co-navigation Workflow.
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- Microscopy & Microanalysis, 2024, v. 30, p. 1, doi. 10.1093/mam/ozae044.165
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- Article
Post-Experiment Forensics and Human-in-the-Loop Interventions in Explainable Autonomous Scanning Transmission Electron Microscopy.
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- 2023
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- Abstract
Automated Experiment and Big Data Methods in Praxis of 4D STEM.
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- 2023
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- Abstract
Machine Learning-driven Autonomous Microscopy for Materials and Physics Discovery.
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- 2023
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- Abstract
Direct Observation of Strain-induced Ferrochiral Transition in Quasi-1D BaTiS<sub>3</sub>.
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- 2023
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- Abstract
Exploring Local Crystal Symmetry with Rotationally Invariant Variational Autoencoders.
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- 2022
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- Abstract
Python and FPGA-based Workflow for Automated and Interoperable Scanning Probe Microscopy.
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- 2022
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- Abstract
Machine Learning-Driven Automated Scanning Probe Microscopy for Ferroelectrics.
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- 2022
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- Abstract
Role of Defects and Structure Evolution across Ferroelectric Phase Transitions Studied by Quantitative Aberration-Corrected STEM.
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- 2022
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- Abstract
Deep Convolutional Neural Networks for Symmetry Detection.
- Published in:
- Microscopy & Microanalysis, 2019, p. 112, doi. 10.1017/S1431927618001058
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- Article
Deep Convolutional Neural Networks for Symmetry Detection.
- Published in:
- 2018
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- Abstract
Exploration of Electrochemical Reactions at Organic–Inorganic Halide Perovskite Interfaces via Machine Learning in In Situ Time‐of‐Flight Secondary Ion Mass Spectrometry.
- Published in:
- Advanced Functional Materials, 2020, v. 30, n. 36, p. 1, doi. 10.1002/adfm.202001995
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- Article
Revealing ferroelectric switching character using deep recurrent neural networks.
- Published in:
- Nature Communications, 2019, v. 10, n. 1, p. N.PAG, doi. 10.1038/s41467-019-12750-0
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- Article
Non-conventional mechanism of ferroelectric fatigue via cation migration.
- Published in:
- Nature Communications, 2019, v. 10, n. 1, p. N.PAG, doi. 10.1038/s41467-019-11089-w
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- Article
Electrical Control of Multiferroic Orderings in Mixed-Phase BiFeO<sub>3</sub> Films.
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- Advanced Materials, 2012, v. 24, n. 22, p. 3070, doi. 10.1002/adma.201200463
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- Article
Learning the right channel in multimodal imaging: automated experiment in piezoresponse force microscopy.
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- NPJ Computational Materials, 2023, v. 9, n. 1, p. 1, doi. 10.1038/s41524-023-00985-x
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- Article
Deep learning for exploring ultra-thin ferroelectrics with highly improved sensitivity of piezoresponse force microscopy.
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- NPJ Computational Materials, 2023, v. 9, n. 1, p. 1, doi. 10.1038/s41524-023-00982-0
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- Article
Deep Bayesian local crystallography.
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- NPJ Computational Materials, 2021, v. 7, n. 1, p. 1, doi. 10.1038/s41524-021-00621-6
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- Article
Gaussian process analysis of electron energy loss spectroscopy data: multivariate reconstruction and kernel control.
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- NPJ Computational Materials, 2021, v. 7, n. 1, p. 1, doi. 10.1038/s41524-021-00611-8
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- Article
High Velocity, Low‐Voltage Collective In‐Plane Switching in (100) BaTiO<sub>3</sub> Thin Films.
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- Advanced Science, 2022, v. 9, n. 29, p. 1, doi. 10.1002/advs.202201530
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- Article
Exploring Transport Behavior in Hybrid Perovskites Solar Cells via Machine Learning Analysis of Environmental‐Dependent Impedance Spectroscopy.
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- Advanced Science, 2021, v. 8, n. 15, p. 1, doi. 10.1002/advs.202002510
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- Article
Automated Experiments of Local Non‐Linear Behavior in Ferroelectric Materials.
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- Small, 2022, v. 18, n. 48, p. 1, doi. 10.1002/smll.202204130
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- Article
Fast Scanning Probe Microscopy via Machine Learning: Non‐Rectangular Scans with Compressed Sensing and Gaussian Process Optimization.
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- Small, 2020, v. 16, n. 37, p. 1, doi. 10.1002/smll.202002878
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- Article
Carrier density modulation in a germanium heterostructure by ferroelectric switching.
- Published in:
- Nature Communications, 2015, v. 6, n. 1, p. 6067, doi. 10.1038/ncomms7067
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- Article
AEcroscopy: A Software–Hardware Framework Empowering Microscopy Toward Automated and Autonomous Experimentation.
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- Small Methods, 2024, v. 8, n. 10, p. 1, doi. 10.1002/smtd.202301740
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- Article
Autonomous Synthesis of Thin Film Materials with Pulsed Laser Deposition Enabled by In Situ Spectroscopy and Automation.
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- Small Methods, 2024, v. 8, n. 9, p. 1, doi. 10.1002/smtd.202301763
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- Article
Autonomous Synthesis of Thin Film Materials with Pulsed Laser Deposition Enabled by In Situ Spectroscopy and Automation (Small Methods 9/2024).
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- Small Methods, 2024, v. 8, n. 9, p. 1, doi. 10.1002/smtd.202470050
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- Article
Deep learning with plasma plume image sequences for anomaly detection and prediction of growth kinetics during pulsed laser deposition.
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- NPJ Computational Materials, 2024, v. 10, n. 1, p. 1, doi. 10.1038/s41524-024-01275-w
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- Article
A dynamic Bayesian optimized active recommender system for curiosity-driven partially Human-in-the-loop automated experiments.
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- NPJ Computational Materials, 2024, v. 10, n. 1, p. 1, doi. 10.1038/s41524-023-01191-5
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- Article
Machine Detection of Enhanced Electromechanical Energy Conversion in PbZr<sub>0.2</sub>Ti<sub>0.8</sub>O<sub>3</sub> Thin Films.
- Published in:
- Advanced Materials, 2018, v. 30, n. 28, p. 1, doi. 10.1002/adma.201800701
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- Article
Three-State Ferroelastic Switching and Large Electromechanical Responses in PbTiO<sub>3</sub> Thin Films.
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- Advanced Materials, 2017, v. 29, n. 37, p. n/a, doi. 10.1002/adma.201702069
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- Article
Field enhancement of electronic conductance at ferroelectric domain walls.
- Published in:
- Nature Communications, 2017, v. 8, n. 1, p. 1, doi. 10.1038/s41467-017-01334-5
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- Article
Thermodynamics of order and randomness in dopant distributions inferred from atomically resolved imaging.
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- NPJ Computational Materials, 2021, v. 7, n. 1, p. 1, doi. 10.1038/s41524-021-00507-7
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- Article
Off-the-shelf deep learning is not enough, and requires parsimony, Bayesianity, and causality.
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- NPJ Computational Materials, 2021, v. 7, n. 1, p. 1, doi. 10.1038/s41524-020-00487-0
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- Article
Causal analysis of competing atomistic mechanisms in ferroelectric materials from high-resolution scanning transmission electron microscopy data.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. N.PAG, doi. 10.1038/s41524-020-00396-2
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- Article
Author Correction: Tensor factorization for elucidating mechanisms of piezoresponse relaxation via dynamic Piezoresponse Force Spectroscopy.
- Published in:
- 2020
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- Correction Notice
Tensor factorization for elucidating mechanisms of piezoresponse relaxation via dynamic Piezoresponse Force Spectroscopy.
- Published in:
- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00384-6
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- Publication type:
- Article
Author Correction: Deep learning analysis of defect and phase evolution during electron beam-induced transformations in WS2.
- Published in:
- 2020
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- Correction Notice
Imaging mechanism for hyperspectral scanning probe microscopy via Gaussian process modelling.
- Published in:
- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-0289-6
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- Publication type:
- Article
Application of pan-sharpening algorithm for correlative multimodal imaging using AFM-IR.
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- NPJ Computational Materials, 2019, v. 5, n. 1, p. N.PAG, doi. 10.1038/s41524-019-0186-z
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- Article
Deep neural networks for understanding noisy data applied to physical property extraction in scanning probe microscopy.
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- NPJ Computational Materials, 2019, v. 5, n. 1, p. N.PAG, doi. 10.1038/s41524-019-0148-5
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- Publication type:
- Article
Deep learning analysis of defect and phase evolution during electron beam-induced transformations in WS<sub>2</sub>.
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- NPJ Computational Materials, 2019, v. 5, n. 1, p. N.PAG, doi. 10.1038/s41524-019-0152-9
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- Publication type:
- Article
Deep learning analysis of defect and phase evolution during electron beam-induced transformations in WS2.
- Published in:
- NPJ Computational Materials, 2019, v. 5, n. 1, p. 1, doi. 10.1038/s41524-019-0152-9
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- Publication type:
- Article
Mapping mesoscopic phase evolution during E-beam induced transformations via deep learning of atomically resolved images.
- Published in:
- NPJ Computational Materials, 2018, v. 4, n. 1, p. N.PAG, doi. 10.1038/s41524-018-0086-7
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- Article