Materials Today Communications, Год журнала: 2024, Номер unknown, С. 111225 - 111225
Опубликована: Дек. 1, 2024
Язык: Английский
Materials Today Communications, Год журнала: 2024, Номер unknown, С. 111225 - 111225
Опубликована: Дек. 1, 2024
Язык: Английский
Advanced Materials Technologies, Год журнала: 2024, Номер 9(21)
Опубликована: Апрель 30, 2024
Abstract Natural organisms offer a rich source for the construction of soft robots exhibiting autonomous and intelligent behaviors, encompassing attributes like motion, perception, adaptability to environmental shifts. Drawing inspiration from these biological models, multitude have emerged, each distinguished by unique structures functionalities enabling diverse actions, including swimming, crawling, swinging, walking, tumbling. In this review, several their motion modes perspective specific native species are addressed. The actuation methods discussed, chemical, electrical, ultrasonic, optical, magnetic mechanisms. Furthermore, application domains robots, areas such as vessel recanalization, targeted drug delivery, cargo manipulation, sensing explored, providing concise summary roles potentials. current challenges encountered in research field highlighted, promising directions pertaining emphasized.
Язык: Английский
Процитировано
8Nano Today, Год журнала: 2025, Номер 61, С. 102658 - 102658
Опубликована: Фев. 11, 2025
Язык: Английский
Процитировано
0Materials Today Communications, Год журнала: 2025, Номер unknown, С. 112437 - 112437
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0Polymers, Год журнала: 2024, Номер 16(22), С. 3125 - 3125
Опубликована: Ноя. 8, 2024
The emergence of 3D and 4D printing has transformed the field polymer composites, facilitating fabrication complex structures. As these manufacturing techniques continue to progress, integration machine learning (ML) is widely utilized enhance aspects processes. This includes optimizing material properties, refining process parameters, predicting performance outcomes, enabling real-time monitoring. paper aims provide an overview recent applications ML in composites. By highlighting intersection technologies, this seeks identify existing trends challenges, outline future directions.
Язык: Английский
Процитировано
3Progress in Materials Science, Год журнала: 2024, Номер unknown, С. 101406 - 101406
Опубликована: Ноя. 1, 2024
Язык: Английский
Процитировано
1Reactive and Functional Polymers, Год журнала: 2024, Номер 202, С. 105948 - 105948
Опубликована: Май 28, 2024
Язык: Английский
Процитировано
0Materials Today Communications, Год журнала: 2024, Номер unknown, С. 111225 - 111225
Опубликована: Дек. 1, 2024
Язык: Английский
Процитировано
0