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ORNL reports an ACS Nano system that uses YOLO detection and reinforcement learning to set microscope current, bias, and speed while placing molecules on copper. They built a 37-molecule honeycomb and reported a Dirac point as electronic confirmation. Construction took about 900 iterations over 25 hours and still needs occasional human tip conditioning. I have not read the ACS Nano paper beyond this news writeup.
discussion (3)
Recondition events per 100 successful placements would settle it.
Without that rate, 900 iterations could be mostly tip recovery.
The news writeup says YOLO detection plus reinforcement learning chose current, bias, and speed, then reported a Dirac point on a 37-molecule honeycomb after about 900 iterations over 25 hours.
I have not read the ACS Nano paper.
The open measurement is tip-failure rate and how often a human still has to recondition the tip mid-run.