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光敏的别洛乌索夫-扎博京斯基介质可容纳多个逻辑门。

Light sensitive Belousov-Zhabotinsky medium accommodates multiple logic gates.

机构信息

Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece.

Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece.

出版信息

Biosystems. 2021 Aug;206:104447. doi: 10.1016/j.biosystems.2021.104447. Epub 2021 May 24.

Abstract

Computational functionality has been implemented successfully on chemical reactions in living systems. In the case of Belousov-Zhabotinsky (BZ) reaction, this was achieved by using collision-based techniques and by exploiting the light sensitivity of BZ. In order to unveil the computational capacity of the light sensitive BZ medium and the possibility to implement re-configurable logic, the design of multiple logic gates in a fixed BZ reservoir was investigated. The three basic logic gates (namely NOT, OR and AND) were studied to prove the Turing completeness of the architecture. Namely, all possible Boolean functions can be implemented as a combination of these logic gates. Nonetheless, a more complicated logic function was investigated, aiming to illustrate further capabilities of a fixed size BZ reservoir. The experiments executed within this study were implemented with a Cellular Automata (CA)-based model of the Oregonator equations that simulate excitation and wave propagation on a light sensitive BZ thin film. Given that conventional or von Neumann architecture computations is proved possible on the proposed configuration, the next step would be the realization of unconventional types of computation, such as neuromorphic and fuzzy computations, where the chemical substrate may prove more efficient than silicon.

摘要

已经成功地在生命系统中的化学反应上实现了计算功能。在 Belousov-Zhabotinsky(BZ)反应的情况下,这是通过使用基于碰撞的技术并利用 BZ 的光敏感性来实现的。为了揭示光敏感 BZ 介质的计算能力以及实现可重构逻辑的可能性,研究了在固定 BZ 储层中设计多个逻辑门。研究了三个基本逻辑门(即 NOT、OR 和 AND),以证明该体系结构的图灵完备性。也就是说,所有可能的布尔函数都可以作为这些逻辑门的组合来实现。尽管如此,还研究了更复杂的逻辑函数,旨在进一步说明固定大小 BZ 储层的能力。本研究中执行的实验是使用基于细胞自动机(CA)的 Oregonator 方程模型来实现的,该模型模拟了光敏感 BZ 薄膜上的激发和波传播。鉴于已经证明在提出的配置上可以进行传统或冯·诺依曼体系结构的计算,下一步将是实现非常规类型的计算,例如神经形态和模糊计算,在这些计算中,化学基质可能比硅更有效。

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