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Updated: Mar 16, 2026

A Fabrication and Measurement Method for a Flexible Ferroelectric Element Based on Van Der Waals Heteroepitaxy
Published on: April 8, 2018
Optoelectronic-Driven van der Waals Ferroelectric Materials-Based Memory Devices for Retinomorphic and In-Sensory
Parthasarathi Pal1, Yeong-Her Wang2, Sanjay Kumar1
1Department of Electrical Engineering, Indian Institute of Technology Patna, Bihar, India.
Abstract:
2D ferroelectric materials have recently emerged as a promising class of atomically thin semiconductors capable of integrating sensing, memory, and computation within a single device. Their unique combination of spontaneous switchable polarization, strong light-matter coupling, and van der Waals (vdW) interface compatibility provides an ideal platform for next-generation optoelectronic vision sensors. Coupling ferroelectric polarization with photoresponse, 2D ferroelectric materials such as α-In2Se3, CuInP2S6 (CIPS), SnS, and WTe3 enable non-volatile modulation of photocarrier transport, facilitating adaptive visual perception analogous to the human retina. These 2D ferroelectric photonic devices demonstrate synaptic plasticity, short-term and long-term memory, and optical potentiation and depression characteristics under visible and near-infrared excitation. Integrating ferroelectricity into optoelectronic architectures addresses the von-Neumann bottleneck by enabling in-sensor computing, where data are sensed, stored, and processed locally, minimizing latency and energy consumption. This review provides a comprehensive overview of 2D ferroelectric materials and their device architectures in the memristive and memtransistors devices structures for optoelectronic vision sensors, highlighting their polarization mechanism, light-driven conductance modulation, and neuromorphic functionalities. Additionally, current challenges, such as scalability, polarization fatigue, and interface engineering, have also been extensively discussed together with heterostructure design and hybrid ferroelectric-semiconductor integration toward energy-efficient bio-inspired vision systems.
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