分会场将聚焦能源存储、转换及能源催化材料的分子设计、结构调控与性能优化,推动AI在能源材料从经验合成向精准智造转型中的应用,瞄准能源材料设计、制备及能源利用相关化学、化工过程的技术瓶颈,优化全流程智能化水平,助力双碳目标实现。分会场将以推进AI与材料化学、化工领域的深度融合,探索将相关技术延伸至能源回收及废塑料资源循环领域为目标,推动学术研究与工业应用衔接、能源产业与资源循环产业高质量发展,搭建多领域学术交流平台,为技术创新、产业升级提供支撑。
The parallel session will focus on the molecular design, structural regulation, and performance optimization of materials for energy storage, conversion, and energy catalysis. It will promote the application of AI in transforming energy materials from empirical synthesis to precise intelligent manufacturing, target the process bottlenecks associated with the design, preparation, and energy catalysis of energy materials, optimize the intelligence level of the entire process, and support the achievement of the carbon peaking and carbon neutrality goals.
The session will promote the in-depth integration of AI with materials chemistry and chemical engineering, and explore extending its applications to the fields of energy recovery and waste plastic resource recycling. Through the integration of scientific research achievements and technologies, as well as the extension of application fields, it will effectively bridge the gap between academic research and industrial applications, drive the high-quality development of the energy industry and the resource recycling industry, and simultaneously establish a multi-disciplinary academic exchange platform to provide support and collaborative guarantees for technological innovation and industrial upgrading.
巩金龙 天津大学/天津师范大学
叶茂 中国科学院大连化学物理研究所
赵志坚 天津大学
王笑楠 清华大学
莫一鸣 浙江大学
天津大学、清华大学、中国科学院大连化学物理研究所、浙江大学
天津师范大学
由大会统一出版,详细信息请点击【论文提交】。
于涛 天津大学
13752331520
yutao@tju.edu.cn
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