Tuning Pressure Drop in Isoporous Membranes: Tuning Pressure Drop in Isoporous Membranes: Design with Fabrication Variability (Adv. Theory Simul. 8/2021) | Zendy

Ong Shi Ke | Zendy; Birgersson Erik | Zendy; Low Hong Yee | Zendy

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Tuning Pressure Drop in Isoporous Membranes: Tuning Pressure Drop in Isoporous Membranes: Design with Fabrication Variability (Adv. Theory Simul. 8/2021)

Author(s) -

Ong Shi Ke,

Birgersson Erik,

Low Hong Yee

Publication year - 2021

Publication title -

advanced theory and simulations

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.068

H-Index - 17

ISSN - 2513-0390

DOI - 10.1002/adts.202170016

Subject(s) - membrane , fabrication , pressure drop , monte carlo method , drop (telecommunication) , range (aeronautics) , drop out , nanotechnology , materials science , computer science , statistical physics , mechanics , physics , engineering , chemistry , mechanical engineering , mathematics , statistics , composite material , medicine , biochemistry , alternative medicine , pathology , economics , demographic economics

In article number 2100088, Shi Ke Ong, Erik Birgersson, and Hong Yee Low develop a physics‐based machine learning methodology: the inherent fabrication variabilities (probability distributions) in the pore architecture of isoporous membranes and a trained neural network that aids in the performance range prediction through Monte Carlo simulations. Input and output are scaled [−1 1], hence the background has the digits ‘−1’, ‘0’ and ‘1’.

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