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

模仿自然界的化学生产是科学界追求的梦想。科学进步受到了复杂功能之间缺乏有效协同作用以及研究图书馆比自然界小得多的限制。CAART将探索反应机器人的新协同作用，以更快的方式模仿自然。这将实现使用H2O和CO2作为模型substrate.We提出的系统包含3-D量子点网络的能力，同时收获太阳光的发光，光催化基板和分离的产品。这些现象将由人工智能来管理，从而产生自主学习并立即最大化生产力的反应机器人。设想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、有机化学和工程专业知识的结合，将为可行的反应机器人提供成功的途径。CAART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有利地位，以面对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 thelack of efficient synergies among complex functions and by a much smaller research library than nature. CATART will explore newsynergies 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 thatautonomously learn and instantly maximize productivity. The envisioned system will revolutionize the way chemicals are produced. Thecombination 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-changingchemical technology, placing EU industry and society in a privileged situation to face future economic and environmental constraints.