Results 91 to 100 of about 73,903 (291)

Research Progress on Deployable Structures of Shape Memory Polymer Composites

Journal of Aeronautical Materials, 2018
As a new kind of smart material, shape memory polymers (SMPs) show great promise in aerospace. Intelligent material structure with low cost, smooth process, low vibration, high strength and excellent electrical conductivity, and its composite with a ...
REN Tianning, ZHU Guangming, NIE Jing
doaj   +1 more source

A Review of Smart Materials in Tactile Actuators for Information Delivery

, 2017
As the largest organ in the human body, the skin provides the important sensory channel for humans to receive external stimulations based on touch. By the information perceived through touch, people can feel and guess the properties of objects, like ...
Cheng Zhang, Chenye Yang, Juncai Xu, Sanwei Liu, Tian Liu, Xianglin Zhai, Xin Xie, Zhengyu Yang   +7 more
core   +2 more sources

Polymer-Mode-Coupling Theory of Finite-Size-Fluctuation Effects in Entangled Solutions, Melts and Gels. I. General Formulation and Predictions [PDF]

, 1997
The transport coefficients of dense polymeric fluids are approximately calculated from the microscopic intermolecular forces. The following finite molecular weight effects are discussed within the Polymer-Mode-Coupling theory (PMC) and compared to the ...
Fuchs, Matthias, Schweizer, Kenneth S.
core   +1 more source

Photoswitching Conduction in Framework Materials

Advanced Functional Materials, EarlyView.
This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez, Stefan Hecht, Wolfgang Wenzel, Lars Heinke, Mariana Kozlowska   +4 more
wiley   +1 more source

4D printing of high-performance shape memory polymer with double covalent adaptive networks

Advanced Industrial and Engineering Polymer Research
Achieving 4D printing of shape memory polymers with both high strength and high transition temperature remains challenging due to the inherent incompatibility between the rigid molecular structure required for high strength and the molecular structure ...
Zhangzhang Tang, Gao Deng, Yiyuan Sun, Liming Tao, Chao Wang, Zenghui Yang, Peng Liu, Qihua Wang, Yaoming Zhang, Tingmei Wang   +9 more
doaj   +1 more source

Biodegradable and Antimicrobial PLA–OLA Blends Containing Chitosan-Mediated Silver Nanoparticles with Shape Memory Properties for Potential Medical Applications

Nanomaterials, 2020
To use shape memory materials based on poly (lactic acid) (PLA) for medical applications is essential to tune their transition temperature (Ttrans) near to the human body temperature.
Agueda Sonseca, Salim Madani, Alexandra Muñoz-Bonilla, Marta Fernández-García, Laura Peponi, Adrián Leonés, Gema Rodríguez, Coro Echeverría, Daniel López   +8 more
doaj   +1 more source

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

Microscopic modelling of the flow properties of polymers [PDF]

, 1990
The understanding of the flow behaviour of polymeric liquids is of great interest from a practical as well as a theoretical point of view. An important part of the research in this field consists of the development of suitable models, describing the ...
Jongschaap, R.J.J.
core   +2 more sources

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Region‐to‐Region Unidirectional Connection In Vitro Brain Model for Studying Directional Propagation of Neuropathologies

Advanced Functional Materials, EarlyView.
A unidirectional cerebral organoid–organoid neural circuit is established using a microfluidic platform, enabling controlled directional propagation of electrical signals, neuroinflammatory cues, and neurodegenerative disease–related proteins between spatially separated organoids.
Kyeong Seob Hwang, Hui‐Wen Liu, Hyogeun Shin, Hyun Wook Kang, Minjin Kang, Jongbaeg Kim, Il‐Joo Cho, Nakwon Choi, Seok Chung, Hong Nam Kim   +9 more
wiley   +1 more source