Artificial intelligence and structural design of inorganic hollow fiber membranes: Materials chemistry

Muhammad Mubashir; Tausif Ahmad; Xiaowei Liu; Lubna Muzamil Rehman; Jean Pierre Benjamin Boross de Levay; Reham Al Nuaimi; Roshni Thankamony; Zhiping Lai

doi:10.1016/j.chemosphere.2023.139525

Artificial intelligence and structural design of inorganic hollow fiber membranes: Materials chemistry

Muhammad Mubashir^*, Tausif Ahmad, Xiaowei Liu, Lubna Muzamil Rehman, Jean Pierre Benjamin Boross de Levay, Reham Al Nuaimi, Roshni Thankamony, Zhiping Lai^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

A key challenge is to produce the uniform morphology and regular pore design of inorganic hollow fiber membranes (HFMs) due to involvement of multiple parameters including, fabrication process and materials chemistry. Inorganic HFMs required technical innovations via novel structural design and artificial intelligence (AI) to produce the uniform structure and regular pore design. Therefore, this review aims at critical analysis on the most recent and relevant approaches to tackle the issues related to tune the morphology and pore design of inorganic HFMs. Structural design and evaluation of routes towards the dope suspension, spinning, and sintering of inorganic HFMs are critically analysed. AI, driving forces and challenges involved for harnessing of materials are revealed in this review. AI programs used for the prediction of pore design and performance of HFMs have also been explained in this review. Overall, this review will provide the understanding to build the equilibrium in spinning and sintering processes to control the design of micro-channels, and structural properties of inorganic HFMs. This review has great significance to control the new design of membranes via AI programs. This review also explain the inorganic membrane efficiency as algal-bioreactor.

Original language	English (US)
Article number	139525
Journal	Chemosphere
Volume	338
DOIs	https://doi.org/10.1016/j.chemosphere.2023.139525
State	Published - Oct 2023

Bibliographical note

Funding Information:
The authors duly acknowledged the King Abdullah University of Science and Technology, Physical Science and Engineering Division, Advanced Membranes and Porous Materials Center, Thuwal, Saudi Arabia for the support.

Publisher Copyright:
© 2023 Elsevier Ltd

Keywords

Artificial intelligence
Bio-membrane
Inorganic membranes
Materials chemistry
Structural assembly

ASJC Scopus subject areas

Environmental Engineering
Environmental Chemistry
General Chemistry
Pollution
Public Health, Environmental and Occupational Health
Health, Toxicology and Mutagenesis

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.chemosphere.2023.139525

Cite this

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title = "Artificial intelligence and structural design of inorganic hollow fiber membranes: Materials chemistry",

abstract = "A key challenge is to produce the uniform morphology and regular pore design of inorganic hollow fiber membranes (HFMs) due to involvement of multiple parameters including, fabrication process and materials chemistry. Inorganic HFMs required technical innovations via novel structural design and artificial intelligence (AI) to produce the uniform structure and regular pore design. Therefore, this review aims at critical analysis on the most recent and relevant approaches to tackle the issues related to tune the morphology and pore design of inorganic HFMs. Structural design and evaluation of routes towards the dope suspension, spinning, and sintering of inorganic HFMs are critically analysed. AI, driving forces and challenges involved for harnessing of materials are revealed in this review. AI programs used for the prediction of pore design and performance of HFMs have also been explained in this review. Overall, this review will provide the understanding to build the equilibrium in spinning and sintering processes to control the design of micro-channels, and structural properties of inorganic HFMs. This review has great significance to control the new design of membranes via AI programs. This review also explain the inorganic membrane efficiency as algal-bioreactor.",

keywords = "Artificial intelligence, Bio-membrane, Inorganic membranes, Materials chemistry, Structural assembly",

author = "Muhammad Mubashir and Tausif Ahmad and Xiaowei Liu and Rehman, {Lubna Muzamil} and {de Levay}, {Jean Pierre Benjamin Boross} and {Al Nuaimi}, Reham and Roshni Thankamony and Zhiping Lai",

note = "Funding Information: The authors duly acknowledged the King Abdullah University of Science and Technology, Physical Science and Engineering Division, Advanced Membranes and Porous Materials Center, Thuwal, Saudi Arabia for the support. Publisher Copyright: {\textcopyright} 2023 Elsevier Ltd",

year = "2023",

month = oct,

doi = "10.1016/j.chemosphere.2023.139525",

language = "English (US)",

volume = "338",

journal = "Chemosphere",

issn = "0045-6535",

publisher = "Elsevier",

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T1 - Artificial intelligence and structural design of inorganic hollow fiber membranes

T2 - Materials chemistry

AU - Mubashir, Muhammad

AU - Ahmad, Tausif

AU - Liu, Xiaowei

AU - Rehman, Lubna Muzamil

AU - de Levay, Jean Pierre Benjamin Boross

AU - Al Nuaimi, Reham

AU - Thankamony, Roshni

AU - Lai, Zhiping

N1 - Funding Information: The authors duly acknowledged the King Abdullah University of Science and Technology, Physical Science and Engineering Division, Advanced Membranes and Porous Materials Center, Thuwal, Saudi Arabia for the support. Publisher Copyright: © 2023 Elsevier Ltd

PY - 2023/10

Y1 - 2023/10

N2 - A key challenge is to produce the uniform morphology and regular pore design of inorganic hollow fiber membranes (HFMs) due to involvement of multiple parameters including, fabrication process and materials chemistry. Inorganic HFMs required technical innovations via novel structural design and artificial intelligence (AI) to produce the uniform structure and regular pore design. Therefore, this review aims at critical analysis on the most recent and relevant approaches to tackle the issues related to tune the morphology and pore design of inorganic HFMs. Structural design and evaluation of routes towards the dope suspension, spinning, and sintering of inorganic HFMs are critically analysed. AI, driving forces and challenges involved for harnessing of materials are revealed in this review. AI programs used for the prediction of pore design and performance of HFMs have also been explained in this review. Overall, this review will provide the understanding to build the equilibrium in spinning and sintering processes to control the design of micro-channels, and structural properties of inorganic HFMs. This review has great significance to control the new design of membranes via AI programs. This review also explain the inorganic membrane efficiency as algal-bioreactor.

AB - A key challenge is to produce the uniform morphology and regular pore design of inorganic hollow fiber membranes (HFMs) due to involvement of multiple parameters including, fabrication process and materials chemistry. Inorganic HFMs required technical innovations via novel structural design and artificial intelligence (AI) to produce the uniform structure and regular pore design. Therefore, this review aims at critical analysis on the most recent and relevant approaches to tackle the issues related to tune the morphology and pore design of inorganic HFMs. Structural design and evaluation of routes towards the dope suspension, spinning, and sintering of inorganic HFMs are critically analysed. AI, driving forces and challenges involved for harnessing of materials are revealed in this review. AI programs used for the prediction of pore design and performance of HFMs have also been explained in this review. Overall, this review will provide the understanding to build the equilibrium in spinning and sintering processes to control the design of micro-channels, and structural properties of inorganic HFMs. This review has great significance to control the new design of membranes via AI programs. This review also explain the inorganic membrane efficiency as algal-bioreactor.

KW - Artificial intelligence

KW - Bio-membrane

KW - Inorganic membranes

KW - Materials chemistry

KW - Structural assembly

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Artificial intelligence and structural design of inorganic hollow fiber membranes: Materials chemistry

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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