Back‐End and Flexible Substrate Compatible Analog Ferroelectric Field‐Effect Transistors for Accurate Online Training in Deep Neural Network Accelerators

Sayani Majumdar; Ioannis Zeimpekis

doi:10.1002/aisy.202300391

Back‐End and Flexible Substrate Compatible Analog Ferroelectric Field‐Effect Transistors for Accurate Online Training in Deep Neural Network Accelerators

Research output: Contribution to journal › Article › Scientific › peer-review

3 Citations (Scopus)

Original language	English
Journal	Advanced Intelligent Systems
DOIs	https://doi.org/10.1002/aisy.202300391
Publication status	Published - Nov 2023
Externally published	Yes
Publication type	A1 Journal article-refereed

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10.1002/aisy.202300391Licence: CC BY

Cite this

TY - JOUR

T1 - Back‐End and Flexible Substrate Compatible Analog Ferroelectric Field‐Effect Transistors for Accurate Online Training in Deep Neural Network Accelerators

AU - Majumdar, Sayani

AU - Zeimpekis, Ioannis

PY - 2023/11

Y1 - 2023/11

U2 - 10.1002/aisy.202300391

DO - 10.1002/aisy.202300391

M3 - Article

SN - 2640-4567

JO - Advanced Intelligent Systems

JF - Advanced Intelligent Systems

ER -