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.

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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
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Towards AI-Assisted Design of Thermal Management Strategies

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Towards AI-Assisted Design of Thermal Management Strategies

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article en

Abstract

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.

Advanced Micro Devices (Canada) (CA)
Openalex Percentile: Top 70%
Building Energy and Comfort Optimization
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