Natural Biomaterials for Sustainable Flexible Neuromorphic Devices

52 Pages Posted: 27 Jun 2024

See all articles by Yanfei Zhao

Yanfei Zhao

Seoul National University

Seungbeom Lee

Seoul National University of Science and Technology

Tingyu Long

Seoul National University

Hea-Lim Park

Seoul National University of Science and Technology

Tae-Woo Lee

Seoul National University

Abstract

Neuromorphic electronics use neural models in hardware to emulate brain-like behavior, and provide power-efficient, extremely compact, and massively-parallel processing, so they are ideal candidates for next-generation information-processing units. However, traditional rigid neuromorphic devices are limited by their unavoidable mechanical and geometrical mismatch with human tissues or organs. At the same time, the rapid development of these electronic devices has generated a large amount of electronic waste, thereby causing severe ecological problems. Natural biomaterials have mechanical properties compatible with biological tissues, and are environmentally benign, ultra-thin, and lightweight, so use of these materials can address these limitations and be used to create next-generation sustainable flexible neuromorphic electronics. Here, we explore the advantages of natural biomaterials in simulating synaptic behavior of sustainable neuromorphic devices. We present the flexibility, biocompatibility, and biodegradability of these neuromorphic devices, and consider the potential applicability of these properties in wearable and implantable bioelectronics. Finally, we consider the challenges of device fabrication and neuromorphic system integration by natural biomaterials, then suggest future research directions.

Keywords: Neuromorphic electronics, Natural biomaterials, Flexibility, Biocompatibility, Biodegradability

Suggested Citation

Zhao, Yanfei and Lee, Seungbeom and Long, Tingyu and Park, Hea-Lim and Lee, Tae-Woo, Natural Biomaterials for Sustainable Flexible Neuromorphic Devices. Available at SSRN: https://ssrn.com/abstract=4876795 or http://dx.doi.org/10.2139/ssrn.4876795

Yanfei Zhao

Seoul National University ( email )

Kwanak-gu
Seoul, 151-742
Korea, Republic of (South Korea)

Seungbeom Lee

Seoul National University of Science and Technology ( email )

172 Gongreuing 2-dong, Nowon-gu
Seoul, 139-746
Korea, Republic of (South Korea)

Tingyu Long

Seoul National University ( email )

Kwanak-gu
Seoul, 151-742
Korea, Republic of (South Korea)

Hea-Lim Park

Seoul National University of Science and Technology ( email )

172 Gongreuing 2-dong, Nowon-gu
Seoul, 139-746
Korea, Republic of (South Korea)

Tae-Woo Lee (Contact Author)

Seoul National University ( email )

Kwanak-gu
Seoul, 151-742
Korea, Republic of (South Korea)

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