Optimizing Biomimetic 3D Disordered Fibrous Network Structures for Lightweight, High‐Strength Materials via Deep Reinforcement Learning

Optimizing Biomimetic 3D Disordered Fibrous Network Structures for Lightweight, High‐Strength Materials via Deep Reinforcement Learning

Abstract 3D disordered fibrous network structures (3D‐DFNS), such as cytoskeletons, collagen matrices, and spider webs, exhibit remarkable material efficiency, lightweight properties, and mechanical adaptability. Despite their widespread in nature, the integration into engineered materials is limite...

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Bibliographic Details
Main Authors: Yunhao Yang, Runnan Bai, Wenli Gao, Leitao Cao, Jing Ren, Zhengzhong Shao, Shengjie Ling
Format: Article
Language:English
Published: Wiley 2025-03-01
Series:Advanced Science
Subjects:
biomimetic
deep reinforcement learning
molecular dynamics simulations
network structures
stability optimization
Online Access:https://doi.org/10.1002/advs.202413293
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https://doi.org/10.1002/advs.202413293

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