Ut-Battelle, Inc.

Jacob D Hinkle

Sergei V Kalinin

Rama K Vasudevan

Yongtao Liu

Kyle P Kelley

Kevin Roccapriore

Maxim A Ziatdinov

Systems are provided for machine learning-driven operation of instrumentation with human in the loop. The systems use a model with learnt model parameters to define points for physical-characteristic measurements once the model is trained. The systems use active learning, which considers selection, reinforcement and/or adjustment inputs from the instrumentation's user, to enable describing a relationship between local features of sample-surface structure shown in image patches and determined representations of physical-characteristic measurements.

Machine learning-driven operation of instrumentation with human in the loop

Systems, methods and programs are provided for automated science experiments which use a model with learnt model parameters to define points for physical-characteristic measurements once the model is trained. The systems, methods and programs use active learning which enables describing a relationship between local features of sample-surface structure shown in image patches and determined representations of physical-characteristic measurements.

Science-driven automated experiments

Growing community of inventors

Oak Ridge, TN, United States of America

Jacob D Hinkle