Physical
Computation
Laboratory

We explore fundamental methods to use an understanding of the physical world to enable efficient computation that interacts with nature.

Physical Computation Laboratory

Recent Publications

The Laplace Microarchitecture for Tracking Data Uncertainty

Vasileios Tsoutsouras , Orestis Kaparounakis, Chatura Samarakoon, Bilgesu Bilgin , James Meech, Jan Heck , and Phillip Stanley-Marbell. IEEE Micro Top Picks 2022.      
Members Public

The Laplace Microarchitecture for Tracking Data Uncertainty
GFET Lab: A Graphene Field-Effect Transistor TCAD Tool

N.J. Tye, A.W. Tadbier, S. Hofmann, P. Stanley-Marbell, arXiv Preprint      
Members Public

GFET Lab: A Graphene Field-Effect Transistor TCAD Tool
An Algorithm for Sensor Data Uncertainty Quantification

J. T. Meech, and P. Stanley-Marbell, IEEE Sensors Letters, 2021.      
Members Public

An Algorithm for Sensor Data Uncertainty Quantification
Machine Learning for Sensor Transducer Conversion Routines

T. Newton, J. T. Meech, and P. Stanley-Marbell, IEEE Embedded Systems Letters, 2021.      
Members Public

Machine Learning for Sensor Transducer Conversion Routines