@inproceedings{2bc8d1f2ebc14baa8c170dfa93ce347e,
title = "Machine learning and high-speed circuitry in thin film transistors for sensor interfacing in hybrid large-area electronic systems",
abstract = "The advent of flexible substrates with thin film transistors (TFTs) over large areas (meters) makes large-area electronics (LAE) an attractive platform for integrating very large numbers of sensors onto surfaces over large areas. While TFT's may directly interface to sensors and may be used for sensor addressing, to realistically communicate with the outside world, IC's will probably be bonded onto the {"}sensor sheets{"} to create a {"}hybrid{"} LAE/IC system. This paper examines novel architectures to minimize the number of physical interfaces to the IC, beyond the typical TFT-based active-matrix approach. Approaches demonstrated include (i) high-frequency TFT-based analog oscillators, and (ii) implementing elements of machine learning into TFT circuitry, so a higher-level information is sent to the IC's, thus requiring fewer physical connections.",
author = "Sturm, {J. C.} and Y. Mehlman and Aygun, {L. E.} and C. Wu and Z. Zheng and P. Kumar and S. Wagner and N. Verma",
note = "Publisher Copyright: {\textcopyright} The Electrochemical Society.; 11th Symposium on Semiconductor Process Integration - 236th ECS Meeting ; Conference date: 13-10-2019 Through 17-10-2019",
year = "2019",
doi = "10.1149/09204.0121ecst",
language = "English (US)",
isbn = "9781607688785",
series = "ECS Transactions",
publisher = "Electrochemical Society Inc.",
number = "4",
pages = "121--134",
editor = "J. Murota and C. Claeys and H. Iwai and M. Tao and S. Deleonibus and A. Mai and K. Shiojima and Y. Cao",
booktitle = "Semiconductor Process Integration 11",
edition = "4",
}