A fractional phase-field model for two-phase flows with tunable sharpness: Algorithms and simulations

By Fangying Song, Chuanju Xu, G. Em Karniadakis. 2016

106 citations recorded by the source corpus.

Subfields: Computational Mechanics, Materials Chemistry

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. Lu Lu
2. Guofei Pang
3. G. Em Karniadakis
4. Maizar Raissi
5. Paris Perdikaris
6. Suchuan Dong
7. Chi-Wang Shu
8. Zhiping Mao

In Materials Chemistry

1. G. Em Karniadakis
2. Lu Lu

Citations in the corpus

• fPINNs: Fractional Physics-Informed Neural Networks (2018, background): “Among these are solute transport in fractured and porous media [1, 43], acoustic wave propagation with frequency-dependent dissipation [5, 15], laminar and turbulent flows [41, 4], and viscoelastic constitutive laws [25], just to mention a few.”
• The phase field method for geometric moving interfaces and their numerical approximations (2019, unknown): “Algorithmic development and numerical analysis concerning these nonlocal models (including the fractional ones in either space or time or both ) can be found in [6, 49, 159, 150, 238, 260, 394, 445].”