An Artificial Intelligence‐Based Motion Trajectory Prediction of Fibrous Matters

An Artificial Intelligence‐Based Motion Trajectory Prediction of Fibrous Matters

Understanding and predicting the motion behavior of fibrous matters is critical for studying the structure, performance, function, and assembly behavior of fibrous matters. However, due to the limitation of characterization technology on a space−time scale, the existing technologies cannot provide r...

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Bibliographic Details
Main Authors: Shuo Yang, Shengjie Ling
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Advanced Intelligent Systems
Subjects:
fibrous matters
machine learning
motion behaviors
structure−property−function relationships
Online Access:https://doi.org/10.1002/aisy.202100136

Internet

https://doi.org/10.1002/aisy.202100136

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