We present a composite material composed of dual polymer networks uniquely formed from a single reaction type and catalyst but involving monomers with dramatically different reactivities. This powerful new approach to creating polymer networks produces two narrow glass transition, homogeneous networks sequentially from a single reaction but with all monomers present and uniformly mixed prior to any polymerization. These materials exhibit a triple shape memory effect based on the dual polymer networks, which were both formed using the thiol–Michael addition reaction. Two multifunctional thiol monomers (i.e., mercaptoacetate (MA) and mercaptopropionate (MP)) and two multifunctional vinyls (i.e., vinyl sulfone (V) and acrylate (A)) were polyme...
In this study, covalently cross-linked network strategy has been applied to prepare new triple-shape...
peer reviewedStar-shaped poly(e-caprolactone)s are functionalized by various dienes (furan and anthr...
This paper investigates the shape memory capabilities of semicrystalline networks, focusing the atte...
We present a composite material composed of dual polymer networks uniquely formed from a single reac...
A multishape memory polymer with flexible design capabilities is fabricated by a very simple method....
Shape-memory polymers (SMPs) are remarkable materials able to switch from a temporary shape to thei...
PolyU Library Call No.: [THS] LG51 .H577P ITC 2015 Wuxvii, 177 pages :color illustrationsShape memor...
This study presents the synthesis and characterization of metallopolymer networks with a triple shap...
This paper presents a new methodology to develop “thiol-epoxy” shape-memory polymers (SMPs) with enh...
In this work, poly(ethylene glycol) (PEG)/poly(ε-caprolactone) (PCL) semicrystalline networks were p...
Controlling network architecture and chain connectivity is critical to understanding elastic energy ...
Shape Memory Polymers (SMPs) are a class of smart materials, capable of significant shape variations...
For the design of shape memory polymers with potential biomedical applications, we synthesized metha...
The focus of this research was to formulate, characterize and tailor the reaction methodologies and ...
Shape-memory polymers (SMPs) are remarkable stimuli-responsive materials able to switch from one sta...
In this study, covalently cross-linked network strategy has been applied to prepare new triple-shape...
peer reviewedStar-shaped poly(e-caprolactone)s are functionalized by various dienes (furan and anthr...
This paper investigates the shape memory capabilities of semicrystalline networks, focusing the atte...
We present a composite material composed of dual polymer networks uniquely formed from a single reac...
A multishape memory polymer with flexible design capabilities is fabricated by a very simple method....
Shape-memory polymers (SMPs) are remarkable materials able to switch from a temporary shape to thei...
PolyU Library Call No.: [THS] LG51 .H577P ITC 2015 Wuxvii, 177 pages :color illustrationsShape memor...
This study presents the synthesis and characterization of metallopolymer networks with a triple shap...
This paper presents a new methodology to develop “thiol-epoxy” shape-memory polymers (SMPs) with enh...
In this work, poly(ethylene glycol) (PEG)/poly(ε-caprolactone) (PCL) semicrystalline networks were p...
Controlling network architecture and chain connectivity is critical to understanding elastic energy ...
Shape Memory Polymers (SMPs) are a class of smart materials, capable of significant shape variations...
For the design of shape memory polymers with potential biomedical applications, we synthesized metha...
The focus of this research was to formulate, characterize and tailor the reaction methodologies and ...
Shape-memory polymers (SMPs) are remarkable stimuli-responsive materials able to switch from one sta...
In this study, covalently cross-linked network strategy has been applied to prepare new triple-shape...
peer reviewedStar-shaped poly(e-caprolactone)s are functionalized by various dienes (furan and anthr...
This paper investigates the shape memory capabilities of semicrystalline networks, focusing the atte...