AIMC Topic: Silk
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Hierarchical design of silkworm silk for functional composites.
Chemical Society reviews
May 19, 2025
Silk-reinforced composites (SRCs) manifest the unique properties of silkworm silk fibers, offering enhanced mechanical strength, biocompatibility, and biodegradability. These composites present an eco-friendly alternative to conventional synthetic ma...
Optimizing Biomimetic 3D Disordered Fibrous Network Structures for Lightweight, High-Strength Materials via Deep Reinforcement Learning.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Jan 23, 2025
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 integr...
A study of forecasting the Nephila clavipes silk fiber's ultimate tensile strength using machine learning strategies.
Journal of the mechanical behavior of biomedical materials
Jun 26, 2024
Recent advancements in biomaterial research conduct artificial intelligence for predicting diverse material properties. However, research predicting the mechanical properties of biomaterial based on amino acid sequences have been notably absent. This...
CHARACTERISATION OF RESORBABLE AND NON- RESORBABLE SUTURES COATED WITH Punica granatum SEED EXTRACT: AN in vitro PILOT STUDY.
The journal of evidence-based dental practice
Nov 11, 2023
BACKGROUND: In order to achieve uneventful and rapid healing of the tissues, a suture material should be biocompatible, easy to handle, sterile, and have good and uniform tensile strength. Hence, in the present study, characterization of the suture m...
Bioinspired Liquid Crystalline Spinning Enables Scalable Fabrication of High-Performing Fibrous Artificial Muscles.
Advanced materials (Deerfield Beach, Fla.)
Mar 6, 2023
Leveraging liquid crystal elastomers (LCEs) to realize scalable fabrication of high-performing fibrous artificial muscles is of particular interest because these active soft materials can provide large, reversible, programmable deformations upon envi...
Predicting mechanical properties of silk from its amino acid sequences via machine learning.
Journal of the mechanical behavior of biomedical materials
Feb 22, 2023
The silk fiber is increasingly being sought for its superior mechanical properties, biocompatibility, and eco-friendliness, making it promising as a base material for various applications. One of the characteristics of protein fibers, such as silk, i...
Extraction of Intangible Cultural Heritage Visual Elements by Deep Learning and Its Application in Grassland Tourism of the Silk Road Culture.
Computational intelligence and neuroscience
Jun 20, 2022
Inner Mongolia is rich in grassland tourism resources, and the development of grassland tourism is of great significance to Inner Mongolia tourism and promotion of grassland protection. To better promote the grassland tourism of the Silk Road culture...
Integrated functional neuronal network analysis of 3D silk-collagen scaffold-based mouse cortical culture.
STAR protocols
Jan 25, 2021
Bioengineered 3D tunable neuronal constructs are a versatile platform for studying neuronal network functions, offering numerous advantages over existing technologies and providing for the discovery of new biological insights. Functional neural netwo...
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