Results 241 to 250 of about 14,864 (294)

A Review of Mechanical Reinforcement and Piezoresistive Self‐Sensing in Carbon Nanotube Fiber Composites

open access: yesPolymer Composites, EarlyView.
PSPP‐TRL mapping of CNT‐modified CFRP literature, with four recurring confusions resolved and five scale‐up problems quantified. ABSTRACT Carbon nanotube‐modified fiber composites are often presented as a route to stronger, tougher, and self‐sensing structural materials.
Sanan H. Khan
wiley   +1 more source

Erosion Resistance Enhancement in Epoxy Composites by Recycled Rubber: Effect of Rubber Type

open access: yesPolymer Engineering &Science, EarlyView.
Erosion resistance enhancement in epoxy composites by recycled rubber. ABSTRACT Epoxy‐based materials have low erosion resistance due to their brittle nature, and toughness modification stands out for enhancing it. At this stage, the use of waste rubber as a reinforcement component in the composite system is of interest due to its role in providing ...
Orkan Baran Korkusuz   +3 more
wiley   +1 more source

Hybrid Triboelectric-Electromagnetic Human Energy Harvester Based on an Eccentric Rotor. [PDF]

open access: yesACS Omega
Zheng F   +7 more
europepmc   +1 more source

Conjugated Polymers Engineered for Flexible/Stretchable Electronics

open access: yesJournal of Polymer Science, EarlyView.
This review highlights glass transition temperature (Tg) as the central parameter linking molecular structure to device performance in conjugated polymers. By tuning backbone rigidity, side‐chain architecture, and dynamic bonding, Tg governs the balance between π–π stacking–enabled charge transport and mechanical compliance.
Yunchong Yang   +5 more
wiley   +1 more source

Self-sustained frictional cooling in active matter. [PDF]

open access: yesNat Commun
Antonov AP   +3 more
europepmc   +1 more source

Data‐Driven Prediction of Block Copolymer Morphology Using Coarse‐Grained Modeling and Machine Learning

open access: yesJournal of Polymer Science, EarlyView.
An integrated framework combining high‐throughput CG‐MD simulations, automated image‐based feature extraction, and supervised machine learning enables efficient, interpretable, and data‐driven prediction of block copolymer morphological behaviors.
Lan Xu, Zhaofan Li, Wenjie Xia
wiley   +1 more source

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