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

Documenti analoghi

• Autonomous scanning probe microscopy with hypothesis learning: Exploring the physics of domain switching in ferroelectric materials
  di: Liu, Yongtao, et al.
  Pubblicazione: (2022)
• Post-Experiment Forensics and Human-in-the-Loop Interventions in Explainable Autonomous Scanning Probe Microscopy
  di: Liu, Yongtao, et al.
  Pubblicazione: (2023)
• Bayesian Co-navigation: Dynamic Designing of the Materials Digital Twins via Active Learning
  di: Slautin, Boris N., et al.
  Pubblicazione: (2024)
• Multiscale structure-property discovery via active learning in scanning tunneling microscopy
  di: Narasimha, Ganesh, et al.
  Pubblicazione: (2024)
• Towards accelerating physical discovery via non-interactive and interactive multi-fidelity Bayesian Optimization: Current challenges and future opportunities
  di: Biswas, Arpan, et al.
  Pubblicazione: (2024)