Physics-Enhanced Machine Learning

Materials and devices as solutions to computational problems in machine learning
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Materials and devices as solutions to computational problems in machine learning
Machine Learning for Sensor Transducer Conversion Routines

T. Newton, J. T. Meech, and P. Stanley-Marbell, IEEE Embedded Systems Letters, 2021.      
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Machine Learning for Sensor Transducer Conversion Routines
Bridging the Band Gap: What Device Physicists Need to Know About Machine Learning

Nathaniel Tye, Stephan Hofmann, Phillip Stanley-Marbell, ArXiv preprint.      
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Bridging the Band Gap: What Device Physicists Need to Know About Machine Learning
Research Theme: Graphene FETs for Physics-Enhanced Machine Learning (Grappa)
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Research Theme: Graphene FETs for Physics-Enhanced Machine Learning (Grappa)