Artificial intelligence-empowered scanning probe microscopy: Recent advances and future perspectives

This publication has 111 references indexed in Scilit:

• A Novel Deep Reinforcement Learning Approach for Dynamic Proportional‐Integral Control in Scanning Probe Microscopy
  Small, 2025
• High-speed scanning tunneling microscope technique and its application in studying structural dynamics on surfaces
  Progress in Surface Science, 2024
• On‐Surface Synthesis and Real‐Space Visualization of Aromatic P ₃ N ₃
  Angewandte Chemie International Edition, 2023
• A Deep‐Learning Framework for the Automated Recognition of Molecules in Scanning‐Probe‐Microscopy Images
  Angewandte Chemie International Edition, 2022
• Counting molecules: Python based scheme for automated enumeration and categorization of molecules in scanning tunneling microscopy images
  Software Impacts, 2022
• Automated tip functionalization via machine learning in scanning probe microscopy
  Computer Physics Communications, 2022
• Atomic‐Scale Manipulation and In Situ Characterization with Scanning Tunneling Microscopy
  Advanced Functional Materials, 2019
• Construction of bilayer PdSe2 on epitaxial graphene
  Nano Research, 2018
• On‐Surface Synthesis of Atomically Precise Graphene Nanoribbons
  Advanced Materials, 2016
• A review of atomic force microscopy imaging systems: application to molecular metrology and biological sciences
  Mechatronics, 2004