Argonne National Laboratory

Science and Technology Partnerships and Outreach

Artificial Intelligence Driven Automated Atomic Manipulation (ANL-SF-21-138)

This software uses trained machine learning algorithms to classify features in a scanning tunneling microscopy (STM) topography, and feeds the results to a custom automated atomic manipulation subroutine, thereby circumventing the requirement for operator
Intellectual Property Available to License

Invention Opportunity & Solution

Benefits

  • This program will allow for the building of complex structures that were previously unattainable.
  • The automation will save the operator time.

 

Applications, Industries

  • Scanning probe microscopy software development