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Optical storage and operation based on photostimulated luminescence
Nano Energy ( IF 17.6 ) Pub Date : 2021-09-24 , DOI: 10.1016/j.nanoen.2021.106546
Hao Wu 1 , Mingyu Wang 1 , Linwei Huai 1 , Wenxiang Wang 1 , Jiachi Zhang 1 , Yuhua Wang 1
Affiliation  

Optical storage based on photostimulated luminescence (PSL) shows significant advantages and is considered one of the most promising next-generation advanced storage technologies. However, to realize PSL-based optical computing, further implementation of PSL-based optical operation is still required. In this work, for the first time we experimentally demonstrate the feasibility of integrating PSL-based optical storage and optical operation on a typical PSL medium: Lu3Al5O12:Ce3+. According to the investigation of its PSL-based writing, reading, storage and clearing properties, Lu3Al5O12:Ce3+ is shown to be an excellent PSL medium for optical storage. Significantly, it demonstrates that Boolean logic operations, binary operations, and matrix multiplications can be optically performed based on PSL. Accordingly, two typical examples are presented to show how to solve complicated problems by PSL-based optical operation. One is to determine whether a candidate pet meets the requirements of customers, and the other is to determine the attribution of a selected pattern through an artificial neural network.



中文翻译:

基于光致发光的光存储和操作

基于光受激发光(PSL)的光存储具有显着优势,被认为是最有前途的下一代先进存储技术之一。然而,要实现基于PSL的光计算,还需要进一步实现基于PSL的光运算。在这项工作中,我们首次通过实验证明了在典型的 PSL 介质 Lu 3 Al 5 O 12 :Ce 3+上集成基于 PSL 的光存储和光操作的可行性。根据其基于PSL的写入、读取、存储和清除性能的调查,Lu 3 Al 5 O 12 :Ce 3+被证明是用于光存储的优秀 PSL 介质。重要的是,它表明可以基于 PSL 光学地执行布尔逻辑运算、二进制运算和矩阵乘法。因此,提出了两个典型的例子来展示如何通过基于 PSL 的光学操作来解决复杂的问题。一种是确定候选宠物是否满足顾客的要求,另一种是通过人工神经网络确定所选模式的归属。

更新日期:2021-09-28
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