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1. Non-perturbative cathodoluminescence microscopy of beam-sensitive materials

2. Bayesian state estimation unlocks real-time control in thin film synthesis

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3. SANE: Strategic Autonomous Non-Smooth Exploration for Multiple Optima Discovery in Multi-modal and Non-differentiable Black-box Functions

4. Large Bandgap Observed on the Surfaces of EuZn2As2 Single Crystals

5. Strain-driven stabilization of a room-temperature chiral multiferroic with coupled ferroaxial and ferroelectric order

6. Scientific Exploration with Expert Knowledge (SEEK) in Autonomous Scanning Probe Microscopy with Active Learning

7. Active oversight and quality control in standard Bayesian optimization for autonomous experiments

8. Bayesian Co-navigation: Dynamic Designing of the Materials Digital Twins via Active Learning

9. Multiscale structure-property discovery via active learning in scanning tunneling microscopy

10. Towards accelerating physical discovery via non-interactive and interactive multi-fidelity Bayesian Optimization: Current challenges and future opportunities

11. Synergizing Human Expertise and AI Efficiency with Language Model for Microscopy Operation and Automated Experiment Design

12. AEcroscoPy: A software-hardware framework empowering microscopy toward automated and autonomous experimentation

13. Deep learning with plasma plume image sequences for anomaly detection and prediction of growth kinetics during pulsed laser deposition

14. Opportunities for Retrieval and Tool Augmented Large Language Models in Scientific Facilities

15. Autonomous convergence of STM control parameters using Bayesian Optimization

16. Human-in-the-loop: The future of Machine Learning in Automated Electron Microscopy

20. Autonomous synthesis of thin film materials with pulsed laser deposition enabled by in situ spectroscopy and automation

21. Bridging Theory with Experiment: Digital Twins and Deep Learning Segmentation of Defects in Monolayer MX2 Phases

22. A dynamic Bayesian optimized active recommender system for curiosity-driven Human-in-the-loop automated experiments

23. Deep Kernel Methods Learn Better: From Cards to Process Optimization

24. Sub-10 nm Probing of Ferroelectricity in Heterogeneous Materials by Machine Learning Enabled Contact Kelvin Probe Force Microscopy

25. A processing and analytics system for microscopy data workflows: the Pycroscopy ecosystem of packages

26. Post-Experiment Forensics and Human-in-the-Loop Interventions in Explainable Autonomous Scanning Probe Microscopy

27. Designing Workflows for Materials Characterization

28. Exploring the microstructural origins of conductivity and hysteresis in metal halide perovskites via active learning driven automated scanning probe microscopy

29. Microscopy is All You Need

30. A roadmap for edge computing enabled automated multidimensional transmission electron microscopy

31. Learning the right channel in multimodal imaging: automated experiment in Piezoresponse Force Microscopy

32. Automated Experiments of Local Non-linear Behavior in Ferroelectric Materials

33. Optimizing Training Trajectories in Variational Autoencoders via Latent Bayesian Optimization Approach

34. Bayesian Optimization in Continuous Spaces via Virtual Process Embeddings

35. Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning

36. Discovering mechanisms for materials microstructure optimization via reinforcement learning of a generative model

37. Hypothesis-Driven Automated Experiment in Scanning Probe Microscopy: Exploring the Domain Growth Laws in Ferroelectric Materials

38. Describing condensed matter from atomically resolved imaging data: from structure to generative and causal models

39. Experimental discovery of structure-property relationships in ferroelectric materials via active learning

40. Towards Automating Structural Discovery in Scanning Transmission Electron Microscopy

41. Exploring Electron Beam Induced Atomic Assembly via Reinforcement Learning in a Molecular Dynamics Environment

42. Decoding the shift-invariant data: applications for band-excitation scanning probe microscopy

43. Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy

44. Super-R BiFeO$_3$: Epitaxial stabilization of a low-symmetry phase with giant electromechanical response

45. Bayesian learning of adatom interactions from atomically-resolved imaging data

46. Deep Bayesian Local Crystallography

47. Autonomous Experiments in Scanning Probe Microscopy and Spectroscopy: Choosing Where to Explore Polarization Dynamics in Ferroelectrics

48. Latent mechanisms of polarization switching from in situ electron microscopy observations

49. Probing atomic-scale symmetry breaking by rotationally invariant machine learning of multidimensional electron scattering

50. Separating physically distinct mechanisms in complex infrared plasmonic nanostructures via machine learning enhanced electron energy loss spectroscopy