Millionfold accelerated AI solver for 3D multi-physical simulations of ultrapermeable membranes
Abstract Solving three-dimensional (3D) multi-physics forward and inverse problems is indispensable for fundamental understanding and optimal design of membrane-based desalination systems. Unfortunately, it is computationally expensive when applying traditional numerical methods. Herein, a modified...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-07-01
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| Series: | npj Clean Water |
| Online Access: | https://doi.org/10.1038/s41545-025-00491-1 |
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| _version_ | 1849769680732946432 |
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| author | Yanjin Liu Jiu Luo Mingming Huang Hong Liu Zhiwei Wang Yi Heng |
| author_facet | Yanjin Liu Jiu Luo Mingming Huang Hong Liu Zhiwei Wang Yi Heng |
| author_sort | Yanjin Liu |
| collection | DOAJ |
| description | Abstract Solving three-dimensional (3D) multi-physics forward and inverse problems is indispensable for fundamental understanding and optimal design of membrane-based desalination systems. Unfortunately, it is computationally expensive when applying traditional numerical methods. Herein, a modified Fourier neural operator (FNO)-based method is proposed to efficiently solve complex 3D multi-physics problems. The intelligent solver solves the 3D forward problems in seconds, which is approximately 105-106 times faster than traditional finite-element based method with a comparable solution quality. The average prediction accuracy is more than 96%. Moreover, the proposed FNO-based method is mesh-independent and has zero-shot super-resolution ability. It can be used to provide a fast solution for the optimal design of membrane module to mitigate concentration polarization and membrane fouling for next-generation ultrapermeable membrane system. |
| format | Article |
| id | doaj-art-df7f5b7bf185451fadf1802c8230260b |
| institution | DOAJ |
| issn | 2059-7037 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Clean Water |
| spelling | doaj-art-df7f5b7bf185451fadf1802c8230260b2025-08-20T03:03:20ZengNature Portfolionpj Clean Water2059-70372025-07-018111010.1038/s41545-025-00491-1Millionfold accelerated AI solver for 3D multi-physical simulations of ultrapermeable membranesYanjin Liu0Jiu Luo1Mingming Huang2Hong Liu3Zhiwei Wang4Yi Heng5School of Computer Science and Engineering, Sun Yat-sen UniversitySchool of Future Science and Engineering, Soochow UniversitySouthern Marine Science and Engineering Guangdong Laboratory (Zhuhai)Chongqing Institute of Green and Intelligent Technology, Chinese Academy of SciencesState Key Laboratory of Pollution Control and Resource Reuse, Shanghai Institute of Pollution Control and Ecological Security, College of Environmental Science and Engineering, Tongji UniversitySchool of Computer Science and Engineering, Sun Yat-sen UniversityAbstract Solving three-dimensional (3D) multi-physics forward and inverse problems is indispensable for fundamental understanding and optimal design of membrane-based desalination systems. Unfortunately, it is computationally expensive when applying traditional numerical methods. Herein, a modified Fourier neural operator (FNO)-based method is proposed to efficiently solve complex 3D multi-physics problems. The intelligent solver solves the 3D forward problems in seconds, which is approximately 105-106 times faster than traditional finite-element based method with a comparable solution quality. The average prediction accuracy is more than 96%. Moreover, the proposed FNO-based method is mesh-independent and has zero-shot super-resolution ability. It can be used to provide a fast solution for the optimal design of membrane module to mitigate concentration polarization and membrane fouling for next-generation ultrapermeable membrane system.https://doi.org/10.1038/s41545-025-00491-1 |
| spellingShingle | Yanjin Liu Jiu Luo Mingming Huang Hong Liu Zhiwei Wang Yi Heng Millionfold accelerated AI solver for 3D multi-physical simulations of ultrapermeable membranes npj Clean Water |
| title | Millionfold accelerated AI solver for 3D multi-physical simulations of ultrapermeable membranes |
| title_full | Millionfold accelerated AI solver for 3D multi-physical simulations of ultrapermeable membranes |
| title_fullStr | Millionfold accelerated AI solver for 3D multi-physical simulations of ultrapermeable membranes |
| title_full_unstemmed | Millionfold accelerated AI solver for 3D multi-physical simulations of ultrapermeable membranes |
| title_short | Millionfold accelerated AI solver for 3D multi-physical simulations of ultrapermeable membranes |
| title_sort | millionfold accelerated ai solver for 3d multi physical simulations of ultrapermeable membranes |
| url | https://doi.org/10.1038/s41545-025-00491-1 |
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