Ultralow-power consumption photonic synapse transistors based on organic array films fabricated using a particular prepatterned-guided crystallizing strategy

Abstract

Abstract： Artificial photonic synapses, owing to their high sensitivity, low power consumption, and integration of sensing and memory, have aroused comprehensive discussion, and developed into devices used as the new...

High-performance asymmetric electrode structured light-stimulated synaptic transistor for artificial neural networks

“…Although the advantage of artificial neural networks in terms of energy consumption does not depend entirely on the performance of individual synaptic devices, optimizing the energy consumption of individual synaptic devices is still a key technology to achieve neuromorphic computing and sensing with efficient energy consumption. 21,73 The current variation of the DPP-DTT:N2200 As-LSST in response to a single light pulse at a wavelength of 620 nm (V g = 0 V, V ds = 1 Â 10 À7 V) is displayed in Fig. 4a.…”

“…However, eqn (1) characterizes the photosensitivity of the device, while eqn (2) involves the electrical response to a light spike, which is more appropriate for characterizing the energy consumption of a photo-synaptic device. 21,73,74 We therefore use eqn (2) to characterize the power consumption of a single light pulse synaptic event. Due to the excellent photosensitivity of As-LSST, the energy consumption of the synaptic device is about 2.14 Â 10 À18 J when a light pulse of 100 ms duration is applied, which is close to the energy consumption per synaptic event in biological systems 75 (about 10 fJ).…”

TIPS-pentacene organic field-effect transistor for optoelectronic neuromorphic simulation

“…[22][23][24][25] Through the collaboration of the TIPS-pentacene channel and the ZrO 2 trapping layer, the OPST achieves a storage window exceeding 20 V. The device successfully simulates various forms of biological synaptic plasticity, including excitatory post-synaptic current (EPSC), long-term potentiation/depression (LTP/LTD), paired-pulse facilitation (PPF), short-term/long-term plasticity (STP/LTP), and visual adaptation. [26][27][28][29][30] It provides a novel approach for the development of organic neuromorphic computing system.…”

Visible Light‐Sensitive Artificial Photonic Synapse

“…Moreover, to enable the implementation of a more advanced artificialvision neural networks, numerous recent research endeavors have focused on fabricating large-scale arrays of synaptic devices, emphasizing integration and scalability, and various manufacturing strategies are developed for emerging neuromorphic computing applications. [38][39][40][41] These research efforts have the potential to expedite the development of neuromorphic imaging systems and broaden their applications in future artificial intelligence. Nevertheless, there remains a need for further progress, particularly in enhancing photo-functionality, ensuring high reliability, and achieving uniformity.…”