Thermal analysis benchmarks

Toy Samples

IDRL toy sample

Our team constructs the IDRL data based on the Data Generator as a complementary of dataset with complex layout.

The related data and descriptions of IDRL data were uploaded at BaiduPan (Password: idrl). The dataset constains 1000 samples and others can generate more samples through the configuration file and data generator.

Examples:

Real system

Descriptions of the real system:


Components	Pins	2-D Modeling

The Related data and descriptions were uploaded at BaiduPan (Password: real). The data contains 1200 training samples and 400 testing samples.

Based on the related algorithms by paper [4], the reconstruction results are shown as


Sample 1	Sample 2	Sample 3

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.

Expand

Collapse

Surrogate Modeling Toolbox