Novel Devices

The Physical Computation Laboratory investigates methods for exploiting knowledge of the physical properties of materials to create more efficient computation structures (e.g., AI hardware accelerators) which process data from the physical world.

Domain-Specific Analog Physical Computing Accelerators
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Domain-Specific Analog Physical Computing Accelerators
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
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