Applied & Computational Physics

Articles

• JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework

  Artur P. Toshev, Harish Ramachandran, Jonas A. Erbesdobler, Gianluca Galletti, Johannes Brandstetter, Nikolaus A. Adams (Author)

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• Self-adaptive weights based on balanced residual decay rate for physics-informed neural networks and deep operator networks

  Wenqian Chen, Amanda A. Howard, Panos Stinis (Author)

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• PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks

  Sifan Wang, Bowen Li, Yuhan Chen, Paris Perdikaris (Author)

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• Adaptive Movement Sampling Physics-Informed Residual Network (AM-PIRN) for Solving Nonlinear Option Pricing models

  Qinjiao Gao, Zuowei Wang, Ran Zhang, Dongjiang Wang (Author)

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• AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling

  Siddhant Dutta, Nouhaila Innan, Sadok Ben Yahia, Muhammad Shafique (Author)

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