Simulation of flexural-gravity wave propagation for elastic plates in shallow water using an energy-stable finite difference method with weakly enforced boundary and interface conditions

Publication date: 15 November 2023Source: Journal of Computational Physics, Volume 493Author(s): Nurbek Tazhimbetov, Martin Almquist, Jonatan Werpers, Eric M. Dunham Continue reading Simulation of flexural-gravity wave propagation for elastic plates in shallow water using an energy-stable finite difference method with weakly enforced boundary and interface conditions

A deep reinforcement learning framework for dynamic optimization of numerical schemes for compressible flow simulations

Publication date: 15 November 2023Source: Journal of Computational Physics, Volume 493Author(s): Yiqi Feng, Felix S. Schranner, Josef Winter, Nikolaus A. Adams Continue reading A deep reinforcement learning framework for dynamic optimization of numerical schemes for compressible flow simulations

Efficient solution of bimaterial Riemann problems for compressible multi-material flow simulations

Publication date: 15 November 2023Source: Journal of Computational Physics, Volume 493Author(s): Wentao Ma, Xuning Zhao, Shafquat Islam, Aditya Narkhede, Kevin Wang Continue reading Efficient solution of bimaterial Riemann problems for compressible multi-material flow simulations

A Fourier-based methodology without numerical diffusion for conducting dye simulations and particle residence time calculations

Publication date: 15 November 2023Source: Journal of Computational Physics, Volume 493Author(s): Faisal Amlani, Heng Wei, Niema M. Pahlevan Continue reading A Fourier-based methodology without numerical diffusion for conducting dye simulations and particle residence time calculations

A unified scalable framework for causal sweeping strategies for Physics-Informed Neural Networks (PINNs) and their temporal decompositions

Publication date: 15 November 2023Source: Journal of Computational Physics, Volume 493Author(s): Michael Penwarden, Ameya D. Jagtap, Shandian Zhe, George Em Karniadakis, Robert M. Kirby Continue reading A unified scalable framework for causal sweeping strategies for Physics-Informed Neural Networks (PINNs) and their temporal decompositions