Reaction robot with intimate photocatalytic and separation functions in a 3-D network driven by artificial intelligence

模仿自然界的化学产物是科学界追求已久的梦想。科学进步受到复杂功能之间缺乏有效协同作用的限制，也受到研究图书馆比自然小得多的限制。CATART将探索以更快的方式模仿自然的反应机器人的新协同效应。这将使用H2O和CO2作为模型基质来实现。我们提出了包含三维量子点网络的系统，这些系统能够通过发光同时采集太阳光、光催化衬底和分离产品。这些现象将由人工智能管理，导致反应机器人自主学习并立即实现生产率最大化。设想中的系统将彻底改变化学品的生产方式。来自5个学术机构、1个研究中心、1个中小企业和1个工业合作伙伴的光子学、机器学习、催化、有机化学和工程方面的专业知识相结合，将使我们能够成功地进入可行的反应机器人。CATART将为改变游戏规则的化学技术做出贡献，使欧盟工业和社会处于特殊地位，面临未来的经济和环境限制。

Mimicking the chemical production of nature is a well pursued dream in the scientific community. Scientific progress is limited by the lack of efficient synergies among complex functions and by a much smaller research library than nature. CATART will explore new synergies in reaction robots that mimic nature in a much faster way. This will be achieved using H2O and CO2 as model substrates. We propose systems containing 3-D quantum dot networks with the ability to simultaneously harvest sun-light by luminescence, photocatalyze substrates and separate products. These phenomena will be managed by artificial intelligence, leading to reaction robots that autonomously learn and instantly maximize productivity. The envisioned system will revolutionize the way chemicals are produced. The combination of expertise in photonics, machine learning, catalysis, organic chemistry and engineering from 5 academic, 1 research center, 1 SME and 1 industrial partner will enable a successful pathway into feasible reaction robots. CATART will contribute to a game-changing chemical technology, placing EU industry and society in a privileged situation to face future economic and environmental constraints.