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Wei Ge

Researcher at Chinese Academy of Sciences

Publications -  199
Citations -  6132

Wei Ge is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Particle & Fluidization. The author has an hindex of 39, co-authored 176 publications receiving 5145 citations. Previous affiliations of Wei Ge include Academia Sinica & Institut Universitaire de France.

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CFD simulation of concurrent-up gas–solid flow in circulating fluidized beds with structure-dependent drag coefficient

TL;DR: In this article, the energy-minimization multi-scale (EMMS) approach is adapted for investigating the dependence of drag coefficient on structure parameters, and the structure-dependent drag coefficients calculated from the EMMS approach are then incorporated into the two-fluid model to simulate the behavior of concurrent-up gas-solid flow in a riser.
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The Sunway TaihuLight supercomputer: system and applications

TL;DR: Preliminary efforts on developing and optimizing applications on the TaihuLight system are reported, focusing on key application domains, such as earth system modeling, ocean surface wave modeling, atomistic simulation, and phase-field simulation.
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Eulerian simulation of heterogeneous gas–solid flows in CFB risers: EMMS-based sub-grid scale model with a revised cluster description

TL;DR: In this paper, a doubly stochastic Poisson process is used to analyze the fluctuation characteristics of solid concentration in CFB risers, which provides a mean to define the solid concentration inside clusters.
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Simulation of Heterogeneous Structure in a Circulating Fluidized-Bed Riser by Combining the Two-Fluid Model with the EMMS Approach

TL;DR: In this paper, a drag model based on the energy minimization multiscale (EMMS) approach was proposed to simulate the gas-solid flow in a circulating fluidized-bed riser.
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Multi-scale methodology for complex systems

TL;DR: The strategy of "from the particular to the general" in developing the variational multi-scale methodology is emphasized, and challenges for mathematicians and physicists are identified to show the necessity of transdisciplinary cooperations.