Conference: 10th International Conference on Foundations of Computer Aided Process Design (FOCAPD-2024): Designing for the Future Digital and Carbon Neutral Economy

计算机辅助过程设计基础国际会议将汇集并促进来自学术界和工业界的世界知名专家，来自政府实验室和几个行业的研究人员和实践者，研究生和博士后同事的互动。一个专门的和突出的会议，邀请工艺和产品设计领域的新星初级研究人员讨论未来的挑战、机遇和产品和工艺设计的前沿。本次会议还将提供一个独特的工具，通过其完整索引和可引用的会议记录、网站，更重要的是通过关于研究、教育、培训和工业需求的非正式讨论，传播产品和工艺设计方面的最新技术。会议将为可持续性设计主题创建一个技术和科学论坛；技术研发和能源转换建模；脱碳工艺设计；电气化、石化化工、加工工业；碳捕获;绿色制氢；可再生能源系统；以及流程和产品设计的人工智能和机器学习；以及产品和工艺设计方面的教育、培训和工业需求。计划举行特别全体会议，重点讨论可持续性和弹性设计，设计和能源转换，以及人工智能和机器学习在产品设计中的进步和机遇。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The International Conference on Foundations of Computer Aided Process Design will bring together and foster interaction among world-renowned experts from academia and industry, researchers and practitioners from government laboratories and several industries, graduate students, and post-doctoral associates. A dedicated and highlighted session featuring rising star junior researchers in process and product design to discuss future challenges, opportunities, and the frontiers of product and process design. This conference will also provide a unique vehicle for disseminating the state of the art in product and process design through its fully indexed and citable proceedings, its website, and more importantly through the informal discussions on research, education, training, and industrial needs.The conference will create a technical and scientific forum for the topics of design for sustainability; technology R&D and energy transition modeling; process design for decarbonization; electrification, de-fossilized chemical, and process industry; carbon capture; green hydrogen production; and renewable energy systems; and AI and machine learning for process and product design; and education, training and industrial needs in product and process design. Special plenary sessions are planned for focusing on design for sustainability and resilience, design and energy transitions, and advances and opportunities of artificial intelligence and machine learning in product design.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.