Hybrid Perovskite‐Based Flexible and Stable Memristor by Complete Solution Process for Neuromorphic Computing

Hybrid Perovskite‐Based Flexible and Stable Memristor by Complete Solution Process for Neuromorphic Computing

Abstract The limits of transistor scaling and digital architectures are encouraging research into new electronic materials, devices, and systems to meet growing computing demands. In the realm of artificial intelligence, mimicking brain activity for neuromorphic computing is a promising approach. He...

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Bibliographic Details
Main Authors: Mansi Patel, Dhananjay D. Kumbhar, Jeny Gosai, Muddam Raja Sekhar, Arun Tej Mallajosyula, Ankur Solanki
Format: Article
Language:English
Published: Wiley-VCH 2023-04-01
Series:Advanced Electronic Materials
Subjects:
artificial synapses
flexible memristors
neuromorphic computation
resistive switching
Ruddlesden–Popper perovskites
Online Access:https://doi.org/10.1002/aelm.202200908

Internet

https://doi.org/10.1002/aelm.202200908

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