journal article·2023-03-15

Flexible Organic–Inorganic Halide Perovskite-Based Diffusive Memristor for Artificial Nociceptors

Harshada Patil, Honggyun Kim, Kalyani D. Kadam, Shania Rehman, Supriya A. Patil, Jamal Aziz, Tukaram D. Dongale, Zulfqar Ali Sheikh, Mehr Khalid Rahmani, Muhammad Farooq Khan, Deok-kee Kim

ACS Applied Materials & Interfaces· Volume 15· Issue 10
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Abstract

With the current evolution in the artificial intelligence technology, more biomimetic functions are essential to execute increasingly complicated tasks and respond to challenging work environments. Therefore, an artificial nociceptor plays a significant role in the advancement of humanoid robots. Organic–inorganic halide perovskites (OHPs) have the potential to mimic the biological neurons due to their inherent ion migration. Herein, a versatile and reliable diffusive memristor built on an OHP is reported as an artificial nociceptor. This OHP diffusive memristor showed threshold switching properties with excellent uniformity, forming-free behavior, a high I ON / I OFF ratio (10 4 ), and bending endurance over >10 2 cycles. To emulate the biological nociceptor functionalities, four significant characteristics of the artificial nociceptor, such as threshold, no adaptation, relaxation, and sensitization, are demonstrated. Further, the feasibility of OHP nociceptors in artificial intelligence is being investigated by fabricating a thermoreceptor system. These findings suggest a prospective application of an OHP-based diffusive memristor in the future neuromorphic intelligence platform.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Perovskite Materials and Applications · Advanced Memory and Neural Computing · Conducting polymers and applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Electrical Engineering, Sejong University, 209-Neungdong-ro, Gwangjin-gu, 05006 Seoul, Republic of Korea

Department of Convergence Engineering for Intelligent Drone, Sejong University, 05006 Seoul, Republic of Korea

Department of Nanotechnology and Advanced Materials Engineering, Sejong University, Seoul 05006, Republic of Korea

Computational Electronics and Nanoscience Research Laboratory, School of Nanoscience and Biotechnology, Shivaji University, Kolhapur 416004, India

School of Electronics Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea

Funding

National Research Foundation of Korea

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