Artificial intelligence enabled smart design and manufacturing of advanced materials: The endless Frontier in AI+ era
Abstract Future‐oriented Science & Technology (S&T) Strategies trigger the innovative developments of advanced materials, providing an envision to the significant progress of leading‐/cutting‐edge science, engineering, and technologies for the next few decades. Motivated by Made in China 202...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley-VCH
2024-09-01
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| Series: | Materials Genome Engineering Advances |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/mgea.56 |
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| _version_ | 1850203159487578112 |
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| author | William Yi Wang Suyang Zhang Gaonan Li Jiaqi Lu Yong Ren Xinchao Wang Xingyu Gao Yanjing Su Haifeng Song Jinshan Li |
| author_facet | William Yi Wang Suyang Zhang Gaonan Li Jiaqi Lu Yong Ren Xinchao Wang Xingyu Gao Yanjing Su Haifeng Song Jinshan Li |
| author_sort | William Yi Wang |
| collection | DOAJ |
| description | Abstract Future‐oriented Science & Technology (S&T) Strategies trigger the innovative developments of advanced materials, providing an envision to the significant progress of leading‐/cutting‐edge science, engineering, and technologies for the next few decades. Motivated by Made in China 2025 and New Material Power Strategy by 2035, several key viewpoints about automated research workflows for accelerated discovery and smart manufacturing of advanced materials in terms of AI for Science and main respective of big data, database, standards, and ecosystems are discussed. Referring to classical toolkits at various spatial and temporal scales, AI‐based toolkits and AI‐enabled computations for material design are compared, highlighting the dominant role of the AI agent paradigm. Our recent developed ProME platform together with its functions is introduced briefly. A case study of AI agent assistant welding is presented, which is consisted of the large language model, auto‐coding via AI agent, image processing, image mosaic, and machine learning for welding defect detection. Finally, more duties are called to educate the next generation workforce with creative minds and skills. It is believed that the transformation of knowledge‐enabled data‐driven integrated computational material engineering era to AI+ era promotes the transformation of smart design and manufacturing paradigm from “designing the materials” to “designing with materials.” |
| format | Article |
| id | doaj-art-b4dd67cca991439aa4821618bb83d565 |
| institution | OA Journals |
| issn | 2940-9489 2940-9497 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Wiley-VCH |
| record_format | Article |
| series | Materials Genome Engineering Advances |
| spelling | doaj-art-b4dd67cca991439aa4821618bb83d5652025-08-20T02:11:35ZengWiley-VCHMaterials Genome Engineering Advances2940-94892940-94972024-09-0123n/an/a10.1002/mgea.56Artificial intelligence enabled smart design and manufacturing of advanced materials: The endless Frontier in AI+ eraWilliam Yi Wang0Suyang Zhang1Gaonan Li2Jiaqi Lu3Yong Ren4Xinchao Wang5Xingyu Gao6Yanjing Su7Haifeng Song8Jinshan Li9State Key Laboratory of Solidification Processing Northwestern Polytechnical University Xi'an Shaanxi ChinaState Key Laboratory of Solidification Processing Northwestern Polytechnical University Xi'an Shaanxi ChinaState Key Laboratory of Solidification Processing Northwestern Polytechnical University Xi'an Shaanxi ChinaState Key Laboratory of Solidification Processing Northwestern Polytechnical University Xi'an Shaanxi ChinaState Key Laboratory of Solidification Processing Northwestern Polytechnical University Xi'an Shaanxi ChinaState Key Laboratory of Solidification Processing Northwestern Polytechnical University Xi'an Shaanxi ChinaInstitute of Applied Physics and Computational Mathematics Beijing ChinaBeijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology Beijing Beijing ChinaInstitute of Applied Physics and Computational Mathematics Beijing ChinaState Key Laboratory of Solidification Processing Northwestern Polytechnical University Xi'an Shaanxi ChinaAbstract Future‐oriented Science & Technology (S&T) Strategies trigger the innovative developments of advanced materials, providing an envision to the significant progress of leading‐/cutting‐edge science, engineering, and technologies for the next few decades. Motivated by Made in China 2025 and New Material Power Strategy by 2035, several key viewpoints about automated research workflows for accelerated discovery and smart manufacturing of advanced materials in terms of AI for Science and main respective of big data, database, standards, and ecosystems are discussed. Referring to classical toolkits at various spatial and temporal scales, AI‐based toolkits and AI‐enabled computations for material design are compared, highlighting the dominant role of the AI agent paradigm. Our recent developed ProME platform together with its functions is introduced briefly. A case study of AI agent assistant welding is presented, which is consisted of the large language model, auto‐coding via AI agent, image processing, image mosaic, and machine learning for welding defect detection. Finally, more duties are called to educate the next generation workforce with creative minds and skills. It is believed that the transformation of knowledge‐enabled data‐driven integrated computational material engineering era to AI+ era promotes the transformation of smart design and manufacturing paradigm from “designing the materials” to “designing with materials.”https://doi.org/10.1002/mgea.56AI agentAI for materials scienceauto‐codinghigh‐throughput investigationsworkflow |
| spellingShingle | William Yi Wang Suyang Zhang Gaonan Li Jiaqi Lu Yong Ren Xinchao Wang Xingyu Gao Yanjing Su Haifeng Song Jinshan Li Artificial intelligence enabled smart design and manufacturing of advanced materials: The endless Frontier in AI+ era Materials Genome Engineering Advances AI agent AI for materials science auto‐coding high‐throughput investigations workflow |
| title | Artificial intelligence enabled smart design and manufacturing of advanced materials: The endless Frontier in AI+ era |
| title_full | Artificial intelligence enabled smart design and manufacturing of advanced materials: The endless Frontier in AI+ era |
| title_fullStr | Artificial intelligence enabled smart design and manufacturing of advanced materials: The endless Frontier in AI+ era |
| title_full_unstemmed | Artificial intelligence enabled smart design and manufacturing of advanced materials: The endless Frontier in AI+ era |
| title_short | Artificial intelligence enabled smart design and manufacturing of advanced materials: The endless Frontier in AI+ era |
| title_sort | artificial intelligence enabled smart design and manufacturing of advanced materials the endless frontier in ai era |
| topic | AI agent AI for materials science auto‐coding high‐throughput investigations workflow |
| url | https://doi.org/10.1002/mgea.56 |
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