Immersed boundary-physics informed machine learning approach for fluid–solid coupling

Long Short-Term Memory

Sepp Hochreiter, Jürgen Schmidhuber · Neural Computation · 1997 · 98.1K citations

Computing, Computer Science, Algorithms +16

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Maziar Raissi, Paris Perdikaris, George Em Karniadakis · Journal of Computational Physics · 2018 · 16.9K citations · Full text

Natural Sciences, Computer Science, Physics +16

LATTICE BOLTZMANN METHOD FOR FLUID FLOWS

Shiyi Chen, Gary D. Doolen · Annual Review of Fluid Mechanics · 1998 · 7.2K citations

Engineering, Computational Engineering, Physics +15

The immersed boundary method

Charles S. Peskin · Acta Numerica · 2002 · 4.5K citations · Full text

Engineering, Bioengineering, Physics +16

Lattice Boltzmann model for simulating flows with multiple phases and components

Xiaowen Shan, Hudong Chen · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · 1993 · 3.6K citations · Full text

Natural Sciences, High-performance Computing, Physics +11