Web: http://arxiv.org/abs/2205.03090

May 9, 2022, 1:11 a.m. | Jingang Qu (MLIA, IFPEN), Thibault Faney (IFPEN), Jean-Charles de Hemptinne (IFPEN), Soleiman Yousef (IFPEN), Patrick Gallinari (MLIA)

cs.LG updates on arXiv.org arxiv.org

Phase equilibrium calculations are an essential part of numerical simulations
of multi-component multi-phase flow in porous media, accounting for the largest
share of the computational time. In this work, we introduce a GPUenabled, fast,
and parallel framework, PTFlash, that vectorizes algorithms required for
isothermal two-phase flash calculations using PyTorch, and can facilitate a
wide range of downstream applications. In addition, to further accelerate
PTFlash, we design two task-specific neural networks, one for predicting the
stability of given mixtures and the …

arxiv deep deep learning deep learning framework equilibrium framework learning physics

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