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

由人工智能驱动的 3D 网络中具有紧密光催化和分离功能的反应机器人 (CATART)

• 批准号: 10032373
• 金额: $ 35.05万
• 依托单位: JOHNSON MATTHEY PLC
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10032373
• 关键词: Reaction; robot; intimate; photocatalytic; separation

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.

模仿自然的化学生产是科学界实现的梦想。科学进步受复杂功能之间有效的协同作用的限制，而研究库的研究库比自然要小得多。 Catart将在反应机器人中探索新闻杂志，这些机器人以更快的方式模仿性质。这将是使用H2O和CO2作为模型底物来实现的。我们提出了包含3-D量子点网络的系统，能够通过发光，Photocatalyze底物和单独的产物同时收获日落。这些现象将由人工智能管理，从而导致反应机器人可以学习并立即最大程度地提高生产率。设想的系统将彻底改变化学物质的产生方式。从5个学术，1个研究中心，1个中小型企业和1个工业伙伴的光子学，机器学习，催化，有机化学和工程学方面的专业知识组合将为可行的反应机器人提供成功的途径。 Catart将有助于改变游戏的化学技术，使欧盟行业和社会处于特权状况，以面对未来的经济和环境限制。