Artificial intelligence and structural design of inorganic hollow fiber membranes: Materials chemistry
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 arti...
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| Published in | Chemosphere (Oxford) Vol. 338; p. 139525 |
|---|---|
| Main Authors | , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
England
Elsevier Ltd
01.10.2023
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| Subjects | |
| Online Access | Get full text |
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| 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.
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•A key challenge is to produce the regular pore design of inorganic membranes.•Membranes required novel structural design and AI to produce regular pore design.•Fabrication process and materials chemistry controls the structural design of membranes.•Equilibrium in spinning processes controls the structural properties of membrane.•AI could provide new design of membranes via control on spinning parameters. |
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| AbstractList | 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.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. 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. 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. [Display omitted] •A key challenge is to produce the regular pore design of inorganic membranes.•Membranes required novel structural design and AI to produce regular pore design.•Fabrication process and materials chemistry controls the structural design of membranes.•Equilibrium in spinning processes controls the structural properties of membrane.•AI could provide new design of membranes via control on spinning parameters. |
| ArticleNumber | 139525 |
| Author | Liu, Xiaowei Thankamony, Roshni Lai, Zhiping de Levay, Jean-Pierre Benjamin Boross Al Nuaimi, Reham Ahmad, Tausif Mubashir, Muhammad Rehman, Lubna Muzamil |
| Author_xml | – sequence: 1 givenname: Muhammad surname: Mubashir fullname: Mubashir, Muhammad email: muhammad.mubashir@kaust.edu.sa – sequence: 2 givenname: Tausif surname: Ahmad fullname: Ahmad, Tausif – sequence: 3 givenname: Xiaowei surname: Liu fullname: Liu, Xiaowei – sequence: 4 givenname: Lubna Muzamil surname: Rehman fullname: Rehman, Lubna Muzamil – sequence: 5 givenname: Jean-Pierre Benjamin Boross surname: de Levay fullname: de Levay, Jean-Pierre Benjamin Boross – sequence: 6 givenname: Reham surname: Al Nuaimi fullname: Al Nuaimi, Reham – sequence: 7 givenname: Roshni surname: Thankamony fullname: Thankamony, Roshni – sequence: 8 givenname: Zhiping surname: Lai fullname: Lai, Zhiping email: zhiping.lai@kaust.edu.sa |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/37467860$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_1016_j_envres_2023_117960 crossref_primary_10_1016_j_envres_2024_118615 crossref_primary_10_1016_j_jbiotec_2025_02_010 crossref_primary_10_1016_j_envres_2024_119235 crossref_primary_10_1021_acsapm_4c02913 crossref_primary_10_1515_corrrev_2024_0046 |
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| Keywords | Bio-membrane Inorganic membranes Artificial intelligence Materials chemistry Structural assembly |
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| Title | Artificial intelligence and structural design of inorganic hollow fiber membranes: Materials chemistry |
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