利用染料敏化太阳能电池的可见光信号进行物理水库计算

IF 2.3 4区物理与天体物理 Q3 PHYSICS, APPLIED

Applied Physics Express Pub Date : 2024-09-04 DOI:10.35848/1882-0786/ad7456

Ryo Yamada, Motomasa Nakagawa, Shotaro Hirooka, Hirokazu Tada

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引用次数: 0

摘要

利用染料敏化太阳能电池演示了可见光信号下的物理存储计算（PRC）。使用光脉冲输入确认了 PRC 所需的短期记忆。对归一化均方误差为 0.027 的非线性自回归移动平均时间序列二级 (NARMA2) 信号进行了波形学习演示。二氧化钛多孔层中相对缓慢（几毫秒到几秒钟）和复杂的电荷转移动力学以及溶液相中的氧化还原反应提供了 PRC 所需的特性。

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Physical reservoir computing with visible-light signals using dye-sensitized solar cells

Physical reservoir computing (PRC) with visible-light signals was demonstrated using dye-sensitized solar cells. The short-term memory required for PRC was confirmed using light pulse inputs. Waveform learning was demonstrated for nonlinear autoregressive moving-average time series level 2 (NARMA2) signals with normalized mean square error of 0.027. The relatively slow (milliseconds to seconds) and complex charge transfer dynamics in the TiO₂ porous layer with redox reactions in the solution phase provided the characteristics required for PRC.

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来源期刊

Applied Physics Express 物理-物理：应用

CiteScore

4.80

自引率

8.70%

发文量

310

审稿时长

1.2 months

期刊介绍： Applied Physics Express (APEX) is a letters journal devoted solely to rapid dissemination of up-to-date and concise reports on new findings in applied physics. The motto of APEX is high scientific quality and prompt publication. APEX is a sister journal of the Japanese Journal of Applied Physics (JJAP) and is published by IOP Publishing Ltd on behalf of the Japan Society of Applied Physics (JSAP).