Microvascular networks show promise for applications such as selfhealing, self-cooling, and structural damage sensing. Fluid-filled micro-scale channels have been investigated extensively in the field of microfluidics, but threedimensional networks in polymeric structural materials have been achieved only recently. The purpose of microvascular network integration is to provide a vehicle for the...

Recently, polymer gels have drawn much attention as scaffolds for regenerative medicines, soft actuators, and functional membranes. These applications need tough and robust polymer gels as represented by the double network gels. To fully understand this mechanism and develop further advanced polymer gels, we need to fully understand the molecular origin of fracture energy for conventional polym...

Interpenetrating polymer networks (IPN) were formed involving hydrophobic polybutyl acrylate (PBA) and hydrophilic poly hydroxyethyl acrylate (PHEA). PBA prepolymer was first formed in presence of ferric oxide nanoparticles (

Interpenetrating polymer networks (IPN) were formed involving hydrophobic polybutyl acrylate (PBA) and hydrophilic poly hydroxyethyl acrylate (PHEA). PBA prepolymer was first formed in presence of ferric oxide nanoparticles (

Elastomers and gels can be formed by interpenetrating two polymer networks on a molecular scale. This paper develops a theory to characterize the large deformation and damage of interpenetrating polymer networks. The theory integrates an interpenetrating network model with the network alteration theory. The interpenetration of one network stretches polymer chains in the other network and reduce...

Electron field emission measurements have been made on multiwall arc discharge carbon nanotubes embedded in a conjugated polymer host. Electron emission at low nanotube content is observed and attributed to an enhancement of the applied electric field at the polymer/nanotube/vacuum interface where the electron supply through the film is attributed to fluctuation induced tunneling in a disordere...

In this study, a new neural network quantitative structure-property relationship model for prediction of ) (LCST θ of polymer solutions is presented. The parameters of this model are eight molecular descriptors which are calculated only from the chemical structure of polymer and solvent. These eight molecular descriptors were selected from 3328 molecular descriptors of polymer and solvent avail...