Ferroelectric devices as physical reservoirs: enabling nonlinear dynamics and memory in neuromorphic systems

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Authors: Moonseek Jeong, Da Jung Kim, Su In Hwang, Taegyu Kwon, Jung Ho Yoon, M. H. Park
Cited by: 2
References: 123

Abstract

Multiple states and dynamics of polarization in ferroelectric materials provide nonlinearity and short-term memory, enabling state richness required for physical reservoir computing.

Fields of Study & Subjects

Neural Networks and Reservoir Computing Advanced Memory and Neural Computing Ferroelectric and Negative Capacitance Devices

Publication details

Journal / source
Journal of Materials Chemistry C
Publisher
Royal Society of Chemistry (RSC)
Volume
14
Issue
5
Pages
1691–1707
Publication date
1 January 2026
Language
EN