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.

计算功能已成功应用于生命系统中的化学反应。在 Belousov-Zhabotinsky (BZ) 反应的情况下，这是通过使用基于碰撞的技术和利用 BZ 的光敏感性来实现的。为了揭示光敏 BZ 介质的计算能力和实现可重构逻辑的可能性，研究了固定 BZ 水库中多个逻辑门的设计。三个基本逻辑门（即NOT、OR和AND) 被研究以证明架构的图灵完备性。即，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，研究了更复杂的逻辑函数，旨在说明固定大小的 BZ 储层的更多功能。本研究中执行的实验是使用基于元胞自动机 (CA) 的 Oregonator 方程模型实现的，该模型模拟光敏 BZ 薄膜上的激发和波传播。鉴于传统或冯诺依曼架构计算在提议的配置上被证明是可能的，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，其中化学基质可能比硅更有效。