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ZENODO
Software . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
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tongne/Physics-Informed-Neural-Networks-SD-PINN-SDFEET-PINN: SD-PINN AND SDFEET-PINN V1

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 15 Nov 2025Publisher:Zenodo
Authors: tongne;
Code repository: https://github.com/tongne/Physics-Informed-Neural-Networks-SD-PINN-SDFEET-PINN/tree/v1.0.0

doi: 10.5281/zenodo.17620005 , 10.5281/zenodo.17620004

tongne/Physics-Informed-Neural-Networks-SD-PINN-SDFEET-PINN: SD-PINN AND SDFEET-PINN V1

Abstract

This version presents our SD-PINN and SDFEET-PINN models, as well as the classical PINN, PINN1, and PINN2 formulations. The models are applied to a thermal convection problem and to a thermal diffusion problem in a complex hydraulic seal that has been the subject of several studies in L-PBF additive manufacturing.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average