The construction of molecular robot-like objects that imitate living things is an important challenge for current chemists. Such molecular devices are expected to perform their duties robustly to carry out mechanical motion, process information, and make independent decisions. Dissipative self-organization plays an essential role in meeting these purposes. To produce a micro-robot that can perform the above tasks autonomously as a single entity, a function generator is required. Although many elegant review articles featuring chemical devices that mimic biological mechanical functions have been published recently, the dissipative structure, which is the minimum requirement for mimicking these functions, has not been sufficiently discussed. This article aims to show clearly that dissipative self-organization is a phenomenon involving autonomy, robustness, mechanical functions, and energy transformation. Moreover, it reports the results of recent experiments with an autonomous light-driven molecular device that achieves all of these features. In addition, a chemical model of cell-amplification is also discussed to focus on the generation of hierarchical movement by dissipative self-organization. By reviewing this research, it may be perceived that mainstream approaches to synthetic chemistry have not always been appropriate. In summary, the author proposes that the integration of catalytic functions is a key issue for the creation of autonomous microarchitecture.

中文翻译：

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作为破坏对称性后果的合成分子系统的鲁棒动力学

构建模仿生物的类分子机器人物体是当前化学家面临的重要挑战。此类分子装置有望稳健地履行其职责，以执行机械运动、处理信息并做出独立决策。耗散自组织在满足这些目的方面起着至关重要的作用。为了生产可以作为单个实体自主执行上述任务的微型机器人，需要一个函数发生器。尽管最近发表了许多以模拟生物机械功能的化学装置为特色的优雅评论文章，但耗散结构是模拟这些功能的最低要求，尚未得到充分讨论。本文旨在清楚地表明耗散自组织是一种涉及自治的现象，鲁棒性、机械功能和能量转换。此外，它还报告了最近使用自主光驱动分子装置实现所有这些功能的实验结果。此外，还讨论了细胞扩增的化学模型，重点关注耗散自组织产生的分层运动。通过回顾这项研究，可以看出合成化学的主流方法并不总是合适的。总之，作者提出催化功能的集成是创建自主微架构的关键问题。还讨论了细胞扩增的化学模型，重点关注耗散自组织产生的分层运动。通过回顾这项研究，可以看出合成化学的主流方法并不总是合适的。总之，作者提出催化功能的集成是创建自主微架构的关键问题。还讨论了细胞扩增的化学模型，重点关注耗散自组织产生的分层运动。通过回顾这项研究，可以看出合成化学的主流方法并不总是合适的。总之，作者提出催化功能的集成是创建自主微架构的关键问题。