Materials discovery of ion-selective membranes using artificial intelligence
Ion separation membranes are of importance for a range of applications, including water treatment, raw material recovery, gas separation, and fuel cells, but traditional research and development methods can be expensive and time-consuming. Here, the authors review the capabilities and limitations of...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-10-01
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| Series: | Communications Chemistry |
| Online Access: | https://doi.org/10.1038/s42004-022-00744-x |
| _version_ | 1797986085180014592 |
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| author | Reza Maleki Seyed Mohammadreza Shams Yasin Mehdizadeh Chellehbari Sima Rezvantalab Ahmad Miri Jahromi Mohsen Asadnia Rouzbeh Abbassi Tejraj Aminabhavi Amir Razmjou |
| author_facet | Reza Maleki Seyed Mohammadreza Shams Yasin Mehdizadeh Chellehbari Sima Rezvantalab Ahmad Miri Jahromi Mohsen Asadnia Rouzbeh Abbassi Tejraj Aminabhavi Amir Razmjou |
| author_sort | Reza Maleki |
| collection | DOAJ |
| description | Ion separation membranes are of importance for a range of applications, including water treatment, raw material recovery, gas separation, and fuel cells, but traditional research and development methods can be expensive and time-consuming. Here, the authors review the capabilities and limitations of artificial intelligence in the design of high performing ion-selective membranes. |
| first_indexed | 2024-04-11T07:27:15Z |
| format | Article |
| id | doaj.art-35d94fe571f24108bbd754576f5ee759 |
| institution | Directory Open Access Journal |
| issn | 2399-3669 |
| language | English |
| last_indexed | 2024-04-11T07:27:15Z |
| publishDate | 2022-10-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Communications Chemistry |
| spelling | doaj.art-35d94fe571f24108bbd754576f5ee7592022-12-22T04:37:01ZengNature PortfolioCommunications Chemistry2399-36692022-10-015111310.1038/s42004-022-00744-xMaterials discovery of ion-selective membranes using artificial intelligenceReza Maleki0Seyed Mohammadreza Shams1Yasin Mehdizadeh Chellehbari2Sima Rezvantalab3Ahmad Miri Jahromi4Mohsen Asadnia5Rouzbeh Abbassi6Tejraj Aminabhavi7Amir Razmjou8Department of Chemical Engineering, Shiraz UniversityDepartment of Petroleum Engineering, Amirkabir University of TechnologyDepartment of Chemical Engineering, Sharif University of TechnologyRenewable Energies Department, Faculty of Chemical Engineering, Urmia University of TechnologyDepartment of Petroleum Engineering, Amirkabir University of TechnologySchool of Engineering, Macquarie UniversitySchool of Engineering, Faculty of Science and Engineering, Macquarie UniversitySchool of Engineering, Macquarie UniversityMineral Recovery Research Center (MRRC), School of Engineering, Edith Cowan UniversityIon separation membranes are of importance for a range of applications, including water treatment, raw material recovery, gas separation, and fuel cells, but traditional research and development methods can be expensive and time-consuming. Here, the authors review the capabilities and limitations of artificial intelligence in the design of high performing ion-selective membranes.https://doi.org/10.1038/s42004-022-00744-x |
| spellingShingle | Reza Maleki Seyed Mohammadreza Shams Yasin Mehdizadeh Chellehbari Sima Rezvantalab Ahmad Miri Jahromi Mohsen Asadnia Rouzbeh Abbassi Tejraj Aminabhavi Amir Razmjou Materials discovery of ion-selective membranes using artificial intelligence Communications Chemistry |
| title | Materials discovery of ion-selective membranes using artificial intelligence |
| title_full | Materials discovery of ion-selective membranes using artificial intelligence |
| title_fullStr | Materials discovery of ion-selective membranes using artificial intelligence |
| title_full_unstemmed | Materials discovery of ion-selective membranes using artificial intelligence |
| title_short | Materials discovery of ion-selective membranes using artificial intelligence |
| title_sort | materials discovery of ion selective membranes using artificial intelligence |
| url | https://doi.org/10.1038/s42004-022-00744-x |
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