Nathaniel Tye

Nathaniel Tye

  • 5 posts
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
Analogue-Domain Machine Learning Computations Exploiting 2D Materials Properties
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Analogue-Domain Machine Learning Computations Exploiting 2D Materials Properties
GFET Lab: A Graphene Field-Effect Transistor TCAD Tool

N.J. Tye, A.W. Tadbier, S. Hofmann, P. Stanley-Marbell, arXiv Preprint      
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GFET Lab: A Graphene Field-Effect Transistor TCAD Tool
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