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

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

• 批准号: 10041075
• 金额: $ 11.12万
• 依托单位: CHEMIFY LIMITED
• 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=10041075
• 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 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.

模仿自然的化学生产是科学界实现的梦想。科学进步受到复杂功能之间缺乏有效的协同作用的限制，而研究库的研究库小得多。 Catart将探索以更快的方式模仿性质的反应机器人中的新协同作用。这将使用H2O和CO2作为模型底物来实现。我们提出了包含3-D量子点网络的系统，具有通过发光，光催化底物和单独产物同时收获日落的能力。这些现象将由人工智能管理，导致自主学习并立即最大程度地提高生产率的反应机器人。设想的系统将彻底改变化学物质的产生方式。来自5个学术，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专业知识将使可行的​​反应机器人成功途径。 Catart将有助于改变游戏规则的化学技术，使欧盟产业和社会处于特权状况，以面对未来的经济和环境限制。