Regensburg 2025 – wissenschaftliches Programm
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O: Fachverband Oberflächenphysik
O 31: Focus Session Molecular Nanostructures on Surfaces: On-Surface Synthesis and Single-Molecule Manipulation II
O 31.1: Vortrag
Dienstag, 18. März 2025, 10:30–10:45, H24
AMAN-SPM: Autonomous Molecular and Atomic Nanofabrication via SPM — •Bernhard Ramsauer1, Qigang Zhong2, Bettina Könighofer3, and Oliver T. Hofmann1 — 1Institute of Solid State Physics, NAWI Graz, Graz University of Technology, Graz, 8010, Austria — 2Institute of Functional Nano & Soft Materials, Soochow University, Suzhou, 215006, China — 3Institute of Applied Information Processing and Communications, Graz University of Technology, Graz, 8010, Austria
The precise manipulation of individual molecules and atoms using scanning probe microscopy (SPM) offers transformative possibilities for nanofabrication. Yet the inherently stochastic nature at the nanoscale and the labour-intensive process of building nanostructures contains significant challenges. In this contribution, we introduce AMAN-SPM, a tool that integrates reinforcement learning and automation to revolutionize the on-surface synthesis process.
AMAN-SPM employs dedicated reinforcement learning agents to optimize the manipulation parameters, which allows for precise positioning, reorientation, and the controlled breaking and formation of molecular bonds. Coupled with machine vision and path-planning algorithms, this system autonomously constructs nanostructures, eliminating the need for human intervention.
Beyond fabrication, AMAN-SPM enhances real-time data acquisition and analysis, providing detailed physical insights into molecular interactions. This establishes a foundation for scalable nanostructures with tailored properties.
Keywords: Autonomous; Machine Learning; Scanning Probe Microscopy; Nanostructure; On-surface synthesis