Tuning Pressure Drop in Isoporous Membranes: Tuning Pressure Drop in Isoporous Membranes: Design with Fabrication Variability (Adv. Theory Simul. 8/2021). Issue 8 (6th August 2021)

• Record Type: Journal Article
• Authors: Ong, Shi Ke; Birgersson, Erik; Low, Hong Yee
• Is Part Of: Advanced theory and simulations. Volume 4:Issue 8(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-08-06
• Subjects: Science -- Simulation methods -- Periodicals; Science -- Methodology -- Periodicals; Engineering -- Simulation methods -- Periodicals; Engineering -- Methodology -- Periodicals; 507.21
• DOI: 10.1002/adts.202170016
• Languages: English
• ISSNs: 2513-0390

Abstract

Abstract : 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'.