In this work, we present a Physics-Informed Convolutional Neural Network (PICNN) for solving multiphase flow in fractured porous media. Specifically, the Embedded Discrete Fracture Model (EDFM) is ...

Computational fluid dynamics; Multiphase flow ... according to Equation (11): From Equation (11), the standard k-ε model requires two transport equations (partial differential equations or PDEs): one ...

These are model organisms: plants and animals that scientists ... Scientists have also used it to simulate land-use change, the flow of opinions in families and religious congregations, and ...

Elliptic partial differential equations (PDEs ... Additionally, explorations into multiphase solutions for vector-valued systems, particularly those generalising the Allen–Cahn equation ...

The continuous deceleration efficiency of the uphill is discretized by introducing variable parameters connected to the vehicle position and gradient, and the hybrid traffic flow CA model suitable for ...

Find more information on the Altmetric Attention Score and how the score is calculated. A mathematical model for the four-phase (gas, powder, liquid, and solids) flow in a two-dimensional ironmaking ...

Department of Petroleum Engineering, School of Chemical and Petroleum Engineering, Shiraz University, Shiraz 7193616511, Iran ...

It was originally designed for incompressible single-phase and Low Mach Number flows, but now also allows simulating real compressible multi-phase flows. TRUST is also being progressively ported to ...

An illustration of a magnifying glass. An illustration of a magnifying glass.

Expandable And Scalable Infrastructure for Finite Element Methods, EASIFEM, is [Modern Fortran](https://fortran-lang.org) framework for solving partial differential ...