Thermal analysis benchmarks

Organizers

Wen Yao, Defense Innovation Institute, Chinese Academy of Military Science, China (Email: wendy0782@126.com)

Weien Zhou, Defense Innovation Institute, Chinese Academy of Military Science, China (Email: weienzhou@outlook.com)

Xianqi Chen, College of Aerospace Science and Engineering, National University of Defense Technology, China (Email: chenxianqi12@nudt.edu.cn)

Handing Wang, School of Artificial Intelligence, Xidian University, China (Email: wanghanding.patch@gmail.com)

Contact

If you have further questions, please do not hesitate to contact us by Email (chenxianqi12@nudt.edu.cn or other organizers), or move to our ISSUE BOARD for our competition.

The Intelligent Design and Robust Learning laboratory of Defense Innovation Institute of Academy of Military Sciences focuses on the basic frontier and cross-research of artificial intelligence and aircraft design. The team has developed a series of data and model driven deep learning methods for efficient multi-disciplinary analysis and optimization of aircraft, and tries to construct a intelligent auxiliary aircraft design optimization cloud platform, namely IDaaS （Intelligent Design as a Service）. The team has already publicly released two thermal analysis benchmarks, namely the HSLD （Heat-source layout dataset） and TFRD （Temperature field reconstruction dataset）. Besides, they developed a physical informed neural network framework IDRLNet. In the past three years, they have published more than 30 related papers, and more than 30 patent applications.

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