Artificial intelligence artificial muscle of dielectric elastomers
Artificial muscles (AMs), which encompass materials or devices capable of replicating the functions of natural muscles, have garnered significant attention in recent years, driven by the advent of various materials (advanced hydrogels, pneumatic AMs, dielectric elastomers, etc.) that exhibit excepti...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | Materials & Design |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S026412752500111X |
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| author | Dongyang Huang Jiaxuan Ma Yubing Han Chang Xue Mengying Zhang Weijia Wen Sheng Sun Jinbo Wu |
| author_facet | Dongyang Huang Jiaxuan Ma Yubing Han Chang Xue Mengying Zhang Weijia Wen Sheng Sun Jinbo Wu |
| author_sort | Dongyang Huang |
| collection | DOAJ |
| description | Artificial muscles (AMs), which encompass materials or devices capable of replicating the functions of natural muscles, have garnered significant attention in recent years, driven by the advent of various materials (advanced hydrogels, pneumatic AMs, dielectric elastomers, etc.) that exhibit exceptional properties and devices that demonstrate remarkable performance. The immense potential of AMs spans numerous industries and aspects of daily life, necessitating accelerated research efforts to meet the increasing demand. This article focuses on dielectric responsive elastomers, which are key materials within the field of AMs, highlighting advancements in theory, materials, and devices. To expedite the research and development of dielectric elastomer AM materials and beyond, we propose leveraging artificial intelligence tools to transform the artificial intelligence muscle research paradigm. Establishing an AM material database is highly valuable, as seemingly minor material data can be correlated with descriptors and target values via machine learning. Through material data mining integrating materials science and data science, we can predict potential breakthroughs in AM materials. A data-driven experimental research approach significantly reduces the number of experiments required for AM development, leading to cost savings and increased research efficiency. |
| format | Article |
| id | doaj-art-3e93be9b6820494d8bc367e3839982c4 |
| institution | Kabale University |
| issn | 0264-1275 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Materials & Design |
| spelling | doaj-art-3e93be9b6820494d8bc367e3839982c42025-02-11T04:33:30ZengElsevierMaterials & Design0264-12752025-03-01251113691Artificial intelligence artificial muscle of dielectric elastomersDongyang Huang0Jiaxuan Ma1Yubing Han2Chang Xue3Mengying Zhang4Weijia Wen5Sheng Sun6Jinbo Wu7Materials Genome Institute, Shanghai University, Shanghai 200444, ChinaMaterials Genome Institute, Shanghai University, Shanghai 200444, ChinaFaculty of Materials Science, Shenzhen MSU-BIT University, Shenzhen 518172, ChinaMaterials Genome Institute, Shanghai University, Shanghai 200444, ChinaFaculty of Materials Science, Shenzhen MSU-BIT University, Shenzhen 518172, China; Corresponding author at: Faculty of Materials Science, Shenzhen MSU-BIT University, Shenzhen 518172, China.HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute, Futian, Shenzhen 518031, China; Thrust of Advanced Materials, The Hong Kong University of Science and Technology (Guang Zhou), Guang Zhou 511455, ChinaMaterials Genome Institute, Shanghai University, Shanghai 200444, ChinaMaterials Genome Institute, Shanghai University, Shanghai 200444, China; Faculty of Materials Science, Shenzhen MSU-BIT University, Shenzhen 518172, China; Corresponding author at: Materials Genome Institute, Shanghai University, Shanghai 200444, China.Artificial muscles (AMs), which encompass materials or devices capable of replicating the functions of natural muscles, have garnered significant attention in recent years, driven by the advent of various materials (advanced hydrogels, pneumatic AMs, dielectric elastomers, etc.) that exhibit exceptional properties and devices that demonstrate remarkable performance. The immense potential of AMs spans numerous industries and aspects of daily life, necessitating accelerated research efforts to meet the increasing demand. This article focuses on dielectric responsive elastomers, which are key materials within the field of AMs, highlighting advancements in theory, materials, and devices. To expedite the research and development of dielectric elastomer AM materials and beyond, we propose leveraging artificial intelligence tools to transform the artificial intelligence muscle research paradigm. Establishing an AM material database is highly valuable, as seemingly minor material data can be correlated with descriptors and target values via machine learning. Through material data mining integrating materials science and data science, we can predict potential breakthroughs in AM materials. A data-driven experimental research approach significantly reduces the number of experiments required for AM development, leading to cost savings and increased research efficiency.http://www.sciencedirect.com/science/article/pii/S026412752500111XArtificial muscleArtificial intelligenceDielectric elastomerMaterial databaseData miningNatural language processing |
| spellingShingle | Dongyang Huang Jiaxuan Ma Yubing Han Chang Xue Mengying Zhang Weijia Wen Sheng Sun Jinbo Wu Artificial intelligence artificial muscle of dielectric elastomers Materials & Design Artificial muscle Artificial intelligence Dielectric elastomer Material database Data mining Natural language processing |
| title | Artificial intelligence artificial muscle of dielectric elastomers |
| title_full | Artificial intelligence artificial muscle of dielectric elastomers |
| title_fullStr | Artificial intelligence artificial muscle of dielectric elastomers |
| title_full_unstemmed | Artificial intelligence artificial muscle of dielectric elastomers |
| title_short | Artificial intelligence artificial muscle of dielectric elastomers |
| title_sort | artificial intelligence artificial muscle of dielectric elastomers |
| topic | Artificial muscle Artificial intelligence Dielectric elastomer Material database Data mining Natural language processing |
| url | http://www.sciencedirect.com/science/article/pii/S026412752500111X |
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