Localized lattice Boltzmann equation model for simulating miscible viscous displacement in porous media

By Xuhui Meng, Zhaoli Guo. 2016

33 citations recorded by the source corpus.

Subfields: Computational Mechanics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Xuhui Meng
2. G. Em Karniadakis
3. Dongkun Zhang
4. Zhen Li
5. Paris Perdikaris
6. Maizar Raissi
7. Suchuan Dong
8. Chi-Wang Shu

Citations in the corpus

• PPINN: Parareal Physics-Informed Neural Network for time-dependent PDEs (2019, methodology): “Black solid line: Reference solution, which is obtained from the lattice Boltzmann method using a uniform grid of x×y×t = 200×200×100 [21].”
• A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems (2019, methodology): “We perform lattice Boltzmann simulations [31, 32] to obtain the training data since we have no experimental data.”