80 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. Ferroelectricity in hafnia controlled via surface electrochemical state
6. Machine learning for automated experimentation in scanning transmission electron microscopy
7. Learning the right channel in multimodal imaging: automated experiment in piezoresponse force microscopy
8. Toward self-organizing low-dimensional organic–inorganic hybrid perovskites: Machine learning-driven co-navigation of chemical and compositional spaces
9. AtomAI framework for deep learning analysis of image and spectroscopy data in electron and scanning probe microscopy
10. From atomically resolved imaging to generative and causal models
11. Deep learning for electron and scanning probe microscopy: From materials design to atomic fabrication
12. Experimental discovery of structure–property relationships in ferroelectric materials via active learning
13. Bridging microscopy with molecular dynamics and quantum simulations: an atomAI based pipeline
14. Machine learning in scanning transmission electron microscopy
15. Tackling overpublishing by moving to open-ended papers
16. Towards data-driven next-generation transmission electron microscopy
17. Deep Bayesian local crystallography
18. Distilling nanoscale heterogeneity of amorphous silicon using tip-enhanced Raman spectroscopy (TERS) via multiresolution manifold learning
19. Ensemble learning-iterative training machine learning for uncertainty quantification and automated experiment in atom-resolved microscopy
20. Probing atomic-scale symmetry breaking by rotationally invariant machine learning of multidimensional electron scattering
21. Computational scanning tunneling microscope image database
22. Off-the-shelf deep learning is not enough, and requires parsimony, Bayesianity, and causality
23. Thermodynamics of order and randomness in dopant distributions inferred from atomically resolved imaging
24. Gaussian process analysis of electron energy loss spectroscopy data: multivariate reconstruction and kernel control
25. Deep learning ferroelectric polarization distributions from STEM data via with and without atom finding
26. Defect detection in atomic-resolution images via unsupervised learning with translational invariance
27. Tunable quadruple-well ferroelectric van der Waals crystals
28. Ferroic twin domains in metal halide perovskites
29. Materials science in the artificial intelligence age: high-throughput library generation, machine learning, and a pathway from correlations to the underpinning physics
30. Lab on a beam—Big data and artificial intelligence in scanning transmission electron microscopy
31. Ferroelectric domain engineering of lithium niobate single crystal confined in glass
32. Mesoscopic theory of defect ordering–disordering transitions in thin oxide films
33. Imaging mechanism for hyperspectral scanning probe microscopy via Gaussian process modelling
34. Tensor factorization for elucidating mechanisms of piezoresponse relaxation via dynamic Piezoresponse Force Spectroscopy
35. Causal analysis of competing atomistic mechanisms in ferroelectric materials from high-resolution scanning transmission electron microscopy data
36. Author Correction: Manifold learning of four-dimensional scanning transmission electron microscopy
37. Exploring physics of ferroelectric domain walls via Bayesian analysis of atomically resolved STEM data
38. Author Correction: Deep learning analysis of defect and phase evolution during electron beam-induced transformations in WS2
39. The joint automated repository for various integrated simulations (JARVIS) for data-driven materials design
40. Author Correction: Tensor factorization for elucidating mechanisms of piezoresponse relaxation via dynamic Piezoresponse Force Spectroscopy
41. Piezoelectric domain walls in van der Waals antiferroelectric CuInP2Se6
42. Detection of defects in atomic-resolution images of materials using cycle analysis
43. Reply to: On the ferroelectricity of CH3NH3PbI3 perovskites
44. E-beam manipulation of Si atoms on graphene edges with an aberration-corrected scanning transmission electron microscope
45. Chemical nature of ferroelastic twin domains in CH3NH3PbI3 perovskite
46. Ordering with a twist
47. Author Correction: Atom-by-atom fabrication with electron beams
48. Deep learning analysis of defect and phase evolution during electron beam-induced transformations in WS2
49. Manifold learning of four-dimensional scanning transmission electron microscopy
50. Revealing ferroelectric switching character using deep recurrent neural networks
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