184 citations · 288 across the 10 of their papers we have counts for
12 papers
A self-heating electrochemical cell with nine decades of programmable linear resistance
Adam L. Gross, Sangheon Oh, Minseong Park +22
A programmable linear resistor with a compact footprint would have profound implications for microelectronics, enabling efficient in-sensor analog signal processing and in-memory c…
Explainable Machine Learning for Hydrogen Diffusion in Metals and Random Binary Alloys
Grace M. Lu, Matthew Witman, Sapan Agarwal +2
Hydrogen diffusion in metals and alloys plays an important role in the discovery of new materials for fuel cell and energy storage technology. While analytic models use hand-select…
Parallel Matrix Multiplication Using Voltage Controlled Magnetic Anisotropy Domain Wall Logic
Nicholas Zogbi, Samuel Liu, Christopher H. Bennett +4
The domain wall-magnetic tunnel junction (DW-MTJ) is a versatile device that can simultaneously store data and perform computations. These three-terminal devices are promising for…
An out-of-distribution discriminator based on Bayesian neural network epistemic uncertainty
Ethan Ancell, Christopher Bennett, Bert Debusschere +3
Neural networks have revolutionized the field of machine learning with increased predictive capability. In addition to improving the predictions of neural networks, there is a simu…
On the Accuracy of Analog Neural Network Inference Accelerators
T. Patrick Xiao, Ben Feinberg, Christopher H. Bennett +5
Specialized accelerators have recently garnered attention as a method to reduce the power consumption of neural network inference. A promising category of accelerators utilizes non…
Device-aware inference operations in SONOS nonvolatile memory arrays
Christopher H. Bennett, T. Patrick Xiao, Ryan Dellana +10
Non-volatile memory arrays can deploy pre-trained neural network models for edge inference. However, these systems are affected by device-level noise and retention issues. Here, we…