Search
Now showing items 1-1 of 1
Status, Challenges, and Potential for Machine Learning in Understanding and Applying Heat Transfer Phenomena
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Machine learning (ML) offers a variety of techniques to understand many complex problems in different fields. The field of heat transfer, and thermal systems in general, are governed by complicated sets of physics that can ...
CSV
RIS