Integration of semi-conductors manufacturing physics equation into an artificial intelligence model to improve predictions and detect anomalies

将半导体制造物理方程集成到人工智能模型中，以改进预测并检测异常

• 批准号: CCARD-2022-00259
• 负责人: Renaud, Eric
• 金额: $ 2.19万
• 依托单位: La Cité collégiale
• 依托单位国家: 加拿大
• 项目类别: CCI Applied Research and Development Grants
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=756742
• 关键词: Integration; semi; conductors; manufacturing; physics

CircuitMind (d.b.a Solid State AI) is a private company, founded in 2017, that develops and deploys AIMS (software solution) which increases manufacturer's production volume and quality whilst reducing operating costs and resource consumption. Manufacturers using AIMS are in the Semiconductor, Aerospace and Automotive industries. The goal of the project is to solve the problem of real-time poor prediction accuracy of the advanced process controls used in semiconductor fabrication lines. The value created by solving this problem are: increased operating efficiencies, reduced downtime, reduction in costs and scraps. The approach to solve this problem is integration of Physics models, describing the manufacturing processes, with AI models, which captures and learn variables missing in the Physics models. The project will be done in collaboration with the Center of Expertise in Smart Prototyping (CEPI) of La Cité in Ottawa. The CEPI's team has the expertise in AI to help CircuitMind achieve this goal.

CircuitMind(d.b.a Solid State AI)是一家私人公司，成立于2017年，开发和部署AIMS(软件解决方案)，以提高制造商的生产量和质量，同时降低运营成本和资源消耗。使用AIMS的制造商在半导体、航空航天和汽车行业。该项目的目标是解决半导体生产线中使用的先进工艺控制的实时预测精度较差的问题。解决这一问题所创造的价值是：提高运营效率、减少停机时间、减少成本和废品。解决这一问题的方法是将描述制造过程的物理模型与捕获和学习物理模型中缺失的变量的人工智能模型相结合。该项目将与渥太华La Cité的智能原型专业知识中心(CEPI)合作完成。CEPI的团队拥有人工智能方面的专业知识，可以帮助CircuitMind实现这一目标。