CO2 Mineralization and Utilization with AI Assistance    CO2矿化利用及AI赋能

 

 

Session Chair

Jingwei Li Shandong University China

 

Session Co-Chair

Zhiliang Chen Chongqing University China

 

Summary:

This session focuses on CO2 mineralization and utilization enhanced by artificial intelligence, highlighting their importance in carbon emission reduction, resource recycling, and low-carbon manufacturing. It targets researchers and engineers in carbon capture and utilization, materials science, chemical engineering, and artificial intelligence. The expected outcomes include exchanging advances in CO2 mineralization mechanisms, process optimization, intelligent prediction, and high-value resource recovery, fostering interdisciplinary collaboration and accelerating innovative technologies toward industrial application.

 

本专题聚焦CO2矿化利用与人工智能赋能技术的发展，对推动碳减排、资源循环和低碳制造具有重要意义。面向碳捕集与利用、材料科学、化学工程及人工智能等领域的研究人员与工程技术人员。旨在促进多学科交叉，交流CO2矿化机理、工艺优化、智能预测与高值资源化利用的最新进展，推动创新技术研发与产业应用。

 

Topics:

1. Novel Technologies and Processes for CO2 Mineralization and Utilization (CO2矿化利用新技术与新工艺)
2. CO2 Mineralization and Resource Recovery from Solid Wastes (固体废弃物协同CO2矿化与资源化利用)
3. High-Value Conversion of CO2 Mineralization Products and Functional Materials Synthesis (CO2矿化产物的高值转化与功能材料制备)
4. AI-Assisted Modeling and Mechanistic Analysis of CO2 Mineralization (人工智能辅助的CO2矿化过程建模与机理解析)
5. Reaction Mechanisms and Kinetics of CO2 Mineralization (CO2矿化反应机理与动力学)
6. Scale-Up of CO2Mineralization Technologies and Low-Carbon Industrial Development (CO2矿化技术的规模化应用与低碳产业发展)

 

Keywords:

• CO2 Mineralization and Utilization (CO2矿化利用)

• AI Empowerment (人工智能赋能)

• Carbon Emission Reduction (碳减排)

• Resource Recycling (资源循环)

• Process Optimization (工艺优化)

 

Submission Deadline: May 31, 2027