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PINN training using biobjective optimization: The trade-off between data loss and residual loss

Research article (Journal of Computational Physics, 2023) · cited 26× · AI/ML
academia openalex:W4375859749
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PINN training using biobjective optimization: The trade-off between data loss and residual loss

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PINN training using biobjective optimization: The trade-off between data loss and residual loss is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). PINN training using biobjective optimization: The trade-off between data loss and residual loss. Retrieved May 24, 2026, from https://4ort.xyz/entity/pinn-training-using-biobjective-optimization-the-trade-off-between-data-loss-and-residual-loss
MLA “PINN training using biobjective optimization: The trade-off between data loss and residual loss.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pinn-training-using-biobjective-optimization-the-trade-off-between-data-loss-and-residual-loss.
BibTeX @misc{4ortxyz_pinn-training-using-biobjective-optimization-the-trade-off-between-data-loss-and-residual-loss_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PINN training using biobjective optimization: The trade-off between data loss and residual loss}}, year = {2026}, url = {https://4ort.xyz/entity/pinn-training-using-biobjective-optimization-the-trade-off-between-data-loss-and-residual-loss}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): PINN training using biobjective optimization: The trade-off between data loss and residual loss — https://4ort.xyz/entity/pinn-training-using-biobjective-optimization-the-trade-off-between-data-loss-and-residual-loss (retrieved 2026-05-24)

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