Fortulan Raphael, Raeisi Kheirabadi Noushin, Mougkogiannis Panagiotis, Chiolerio Alessandro, Adamatzky Andrew
Unconventional Computing Laboratory, UWE, Bristol BS16 1QY, U.K.
Bioinspired Soft Robotics Laboratory, Istituto Italiano di Tecnologia, Via Morego 30, Genova 16165, Italy.
ACS Omega. 2024 Oct 1;9(41):42127-42136. doi: 10.1021/acsomega.4c02468. eCollection 2024 Oct 15.
Liquid computers use incompressible fluids for computational processes. Here, we present experimental laboratory prototypes of liquid computers using colloids composed of zinc oxide (ZnO) nanoparticles and microspheres containing thermal proteins (proteinoids). The choice of proteinoids is based on their distinctive neuron-like electrical behavior and their similarity to protocells. In addition, ZnO nanoparticles are chosen for their nontrivial electrical properties. Our research demonstrates the successful extraction of 2-, 4-, and 8-bit logic functions in ZnO proteinoid colloids. Our analysis shows that each material has a distinct set of logic functions and that the complexity of the expressions is directly related to each material present in a mixture. Our study shows that 2-, 4-, and 8-bit logic functions can be successfully extracted from ZnO proteinoid colloids. These findings provide a basis for the development of future hybrid liquid devices capable of general-purpose computing.
液体计算机在计算过程中使用不可压缩流体。在此,我们展示了使用由氧化锌(ZnO)纳米颗粒和含有热蛋白(类蛋白)的微球组成的胶体的液体计算机实验实验室原型。选择类蛋白是基于它们独特的类似神经元的电行为以及它们与原始细胞的相似性。此外,选择ZnO纳米颗粒是因其具有重要的电学性质。我们的研究表明在ZnO类蛋白胶体中成功提取了2位、4位和8位逻辑功能。我们的分析表明每种材料都有一组独特的逻辑功能,并且表达式的复杂性与混合物中存在的每种材料直接相关。我们的研究表明可以从ZnO类蛋白胶体中成功提取2位、4位和8位逻辑功能。这些发现为未来能够进行通用计算的混合液体设备的开发提供了基础。