Results 41 to 50 of about 15,001 (253)

A Fast-Responding Electro-Activated Shape Memory Polymer Composite with Embedded 3D Interconnected Graphene Foam

Micromachines, 2022
Shape memory polymers (SMPs) have gained increasing attention as intelligent morphing materials. However, due to the inherent electrical insulation and poor thermal conductivity of polymers, deformation and temperature control of SMPs usually require ...
Yucheng Zhou, Jianxin Zhou, Jiasheng Rong, Cong Hu   +3 more
doaj   +1 more source

A Simplified Laminar Flow Model for the Pultrusion of Glass Fiber/Polyethylene Terephthalate Commingled Yarns

Advanced Engineering Materials, EarlyView.
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares, Nadège Bouchonneau, Christian Jochum, Donald Radford   +3 more
wiley   +1 more source

Shape memory characteristics of thermadapt polyurethane incorporated with two structurally distinctive aliphatic isocyanates

Polymer Testing, 2021
Shape memory polymers (SMPs) have the ability to fix a temporarily deformed shape and recover its original shape. Owing to the shape memory effect, SMPs have been widely investigated for applications in various industries. Shape memory polyurethane (SMPU)
Seung Hwan Baek, Jung Hyeun Kim
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

New frontiers of shape memory polymers

eXPRESS Polymer Letters, 2010
editorial
doaj   +1 more source

Molecular Dynamics Studies of Shape Memory Polymers: From Bead–Spring Models to Atomistic Simulations

Advanced Engineering Materials, EarlyView.
Coarse‐grained (left) and atomistic (right) models of the shape memory polymer ESTANE ETE 75DT3 are shown schematically. The two representations bridge molecular detail and mesoscopic description. Both models capture shape memory behavior, linking segmental mobility and conformational relaxation of anisotropic chains to macroscopic recovery, and ...
Fathollah Varnik
wiley   +1 more source

Healable, Flexible Supercapacitors Based on Shape Memory Polymers

Applied Sciences, 2018
Supercapacitors as novel and efficient energy storage devices could provide a higher power density and energy density compared to other electronics and devices. However, traditional supercapacitors are readily damaged, which leads to degraded performance
Huankai Zhou, Hongsheng Luo, Xingdong Zhou, Huaquan Wang, Yangrong Yao, Wenjing Lin, Guobin Yi   +6 more
doaj   +1 more source

Recent advances in dynamic covalent bond-based shape memory polymers

e-Polymers, 2022
Dynamic covalent bond-based shape memory polymers (DCB-SMPs) are one of most important SMPs which have a wide potential application prospect. Different from common strong covalent bonds, DCBs own relatively weak bonding energy, similarly to the ...
Peng Shuyi, Sun Ye, Ma Chunming, Duan Gaigai, Liu Zhenzhong, Ma Chunxin   +5 more
doaj   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Smart polymer nanocomposites: A review

eXPRESS Polymer Letters, 2020
The development of smart polymer nanocomposites (SPN) has been an area of high scientific and industrial interest in recent years, due to fantastic improvements achieved in these materials.
W. S. Chow, Z. A. Mohd Ishak
doaj   +1 more source