VS-PINN: A fast and efficient training of physics-informed neural networks using variable-scaling methods for solving PDEs with stiff behavior

Research article (Journal of Computational Physics, 2025) · cited 19× · AI/ML
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VS-PINN: A fast and efficient training of physics-informed neural networks using variable-scaling methods for solving PDEs with stiff behavior

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VS-PINN: A fast and efficient training of physics-informed neural networks using variable-scaling methods for solving PDEs with stiff behavior is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). VS-PINN: A fast and efficient training of physics-informed neural networks using variable-scaling methods for solving PDEs with stiff behavior. Retrieved May 24, 2026, from https://4ort.xyz/entity/vs-pinn-a-fast-and-efficient-training-of-physics-informed-neural-networks-using-variable-scaling-methods-for-solving-pde
MLA “VS-PINN: A fast and efficient training of physics-informed neural networks using variable-scaling methods for solving PDEs with stiff behavior.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/vs-pinn-a-fast-and-efficient-training-of-physics-informed-neural-networks-using-variable-scaling-methods-for-solving-pde.
BibTeX @misc{4ortxyz_vs-pinn-a-fast-and-efficient-training-of-physics-informed-neural-networks-using-variable-scaling-methods-for-solving-pde_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{VS-PINN: A fast and efficient training of physics-informed neural networks using variable-scaling methods for solving PDEs with stiff behavior}}, year = {2026}, url = {https://4ort.xyz/entity/vs-pinn-a-fast-and-efficient-training-of-physics-informed-neural-networks-using-variable-scaling-methods-for-solving-pde}, note = {Accessed: 2026-05-24}}
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