33 results on '"Kalinin, Sergei V."'
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2. Setting standards for data driven materials science
3. Physics and chemistry from parsimonious representations: image analysis via invariant variational autoencoders
4. A dynamic Bayesian optimized active recommender system for curiosity-driven partially Human-in-the-loop automated experiments
5. Machine learning for automated experimentation in scanning transmission electron microscopy
6. Learning the right channel in multimodal imaging: automated experiment in piezoresponse force microscopy
7. Bridging microscopy with molecular dynamics and quantum simulations: an atomAI based pipeline
8. Deep Bayesian local crystallography
9. Ensemble learning-iterative training machine learning for uncertainty quantification and automated experiment in atom-resolved microscopy
10. Probing atomic-scale symmetry breaking by rotationally invariant machine learning of multidimensional electron scattering
11. Off-the-shelf deep learning is not enough, and requires parsimony, Bayesianity, and causality
12. Thermodynamics of order and randomness in dopant distributions inferred from atomically resolved imaging
13. Gaussian process analysis of electron energy loss spectroscopy data: multivariate reconstruction and kernel control
14. Deep learning ferroelectric polarization distributions from STEM data via with and without atom finding
15. Defect detection in atomic-resolution images via unsupervised learning with translational invariance
16. Imaging mechanism for hyperspectral scanning probe microscopy via Gaussian process modelling
17. Tensor factorization for elucidating mechanisms of piezoresponse relaxation via dynamic Piezoresponse Force Spectroscopy
18. Causal analysis of competing atomistic mechanisms in ferroelectric materials from high-resolution scanning transmission electron microscopy data
19. Author Correction: Manifold learning of four-dimensional scanning transmission electron microscopy
20. Author Correction: Deep learning analysis of defect and phase evolution during electron beam-induced transformations in WS2
21. The joint automated repository for various integrated simulations (JARVIS) for data-driven materials design
22. Author Correction: Tensor factorization for elucidating mechanisms of piezoresponse relaxation via dynamic Piezoresponse Force Spectroscopy
23. Deep learning analysis of defect and phase evolution during electron beam-induced transformations in WS2
24. Manifold learning of four-dimensional scanning transmission electron microscopy
25. Application of pan-sharpening algorithm for correlative multimodal imaging using AFM-IR
26. Deep neural networks for understanding noisy data applied to physical property extraction in scanning probe microscopy
27. Author Correction: Mapping mesoscopic phase evolution during E-beam induced transformations via deep learning of atomically resolved images
28. Mapping mesoscopic phase evolution during E-beam induced transformations via deep learning of atomically resolved images
29. Reconstructing phase diagrams from local measurements via Gaussian processes: mapping the temperature-composition space to confidence
30. Learning surface molecular structures via machine vision
31. Design and discovery of materials guided by theory and computation
32. A bridge for accelerating materials by design
33. Deep learning analysis of defect and phase evolution during electron beam-induced transformations in WS2.
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