Physics-Enhanced Machine Learning

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)
Safeguarding Sensor Device Drivers Using Physical Constraints (Poster)

G. Brooks, Y. Wang, and P. Stanley-Marbell, EuroSys 2019      
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Safeguarding Sensor Device Drivers Using Physical Constraints (Poster)
Newton: A Language for Describing Physics

Jonathan Lim and Phillip Stanley-Marbell, arXiv:1811.04626v1, cs.PL, 12th November 2018.      
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Newton: A Language for Describing Physics