Towards AI-Assisted Design of Thermal Management Strategies
We introduce Vinci-Thermal©, an AI-assisted tool to quickly compute the temperature distribution of complex electronic components. Trained with thousands of cases, we show that it can compute temperature distributions and effective conductivities over complex redistribution layer-inspired geometries in a few seconds. Additionally, Vinci- Thermal© incorporates a hierarchy of progressively accurate models to always return an answer with the desired accuracy. When used in conjunction with a tiling strategy, Vinci- Thermal© can compute temperature distributions over large components.
Authors
- Gamal Refai-Ahmed
- Md Malekkul Islam
- Hoa Do (ORCID: https://orcid.org/0000-0001-5442-507X)
- Sheik Dawood Beer Mohideen
- Martia Shahsavan
- Hardik Kabaria
- John L. Davenport
- Joseph G. Kocheemoolayil
- Nicholas Harrington
- Sarah Osentoski
Institutions
- Advanced Micro Devices (Canada) (CA)
Publication Details
- Published
- 2024-12-03
- DOI
- https://doi.org/10.1109/eptc62800.2024.10909767
- Primary Topic
- Building Energy and Comfort Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00