Data Analysis | Argonne National Laboratory

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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

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Laboratory for Applied Mathematics, Numerical Software, and Statistics

The LANS group provides a hub for Argonne computing activities in computational mathematics, data-driven methods, numerical analysis, numerical libraries, and optimization.
FAIR weather ahead for big data management
Tom Peterka to serve as chair of in situ data management workshop
Radioanalytical Counting Laboratory

The Radioanalytical Counting Laboratory is equipped numerous detectors for alpha, gamma, and electron counting to directly support the production of radioactive targets and experiments performed at ATLAS.
Ayman Moawad

Data Science and Machine Learning, Connected and Automated Vehicle, Modeling and Simulation for energy efficiency
Xiaoyong Jin
Adrian C. Pope

Adrian is a physicist, astronomer, and computational scientist working at the intersection of data, computing, and statistical methods for cosmological inference.
Robert B. Ross

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