Approximating the full-field temperature evolution in 3D electronic systems from randomized “Minecraft” systems

Stipsitz, M.; Sanchis-Alepuz, H.

doi:10.23967/eccomas.2022.054

8th European Congress on Computational Methods in Applied Sciences and Engineering 2022

DOI: 10.23967/eccomas.2022.054

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Approximating the full-field temperature evolution in 3D electronic systems from randomized “Minecraft” systems

M. Stipsitz¹,

H. Sanchis-Alepuz²

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2024

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Neural network-based reconstruction of steady-state temperature systems with unknown material composition

Sabathiel,

Sanchis-Alepuz,

Wilson

et al. 2024

Sci Rep

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Neural network-based reconstruction of steady-state temperature systems with unknown material composition

Sabathiel,

Sanchis-Alepuz,

Wilson

et al. 2024

Sci Rep

View full text Add to dashboard Cite

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Approximating the full-field temperature evolution in 3D electronic systems from randomized “Minecraft” systems

Cited by 1 publication

References 2 publications

Neural network-based reconstruction of steady-state temperature systems with unknown material composition

Neural network-based reconstruction of steady-state temperature systems with unknown material composition

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