Article
Publicly Available
Frontmatter
Published/Copyright:
March 3, 2015
Published Online: 2015-3-3
Published in Print: 2015-3-1
©2015 by De Gruyter
Articles in the same Issue
- Frontmatter
- In this Issue
- Editorial
- Editorial March 2015
- Full length articles
- Biodegradable silk fibroin/chitosan blend microparticles prepared by emulsification-diffusion method
- Living radical polymerization of polyacrylamide with submicrometer size by dispersion polymerization
- Investigation of pH-dependent swelling behavior and kinetic parameters of novel poly(acrylamide-co-acrylic acid) hydrogels with spirulina
- Significantly improving the performance and dispersion morphology of porous g-C3N4/PANI composites by an interfacial polymerization method
- UV-Cured polypropylene mesh-reinforced composite polymer electrolyte membranes
- Silica aerogel/epoxy composites with preserved aerogel pores and low thermal conductivity
- Copper-amine complex solution as a low-emission catalyst for flexible polyurethane foam preparation
- Using an artificial neural network for the evaluation of the parameters controlling PVA/chitosan electrospun nanofibers diameter
Articles in the same Issue
- Frontmatter
- In this Issue
- Editorial
- Editorial March 2015
- Full length articles
- Biodegradable silk fibroin/chitosan blend microparticles prepared by emulsification-diffusion method
- Living radical polymerization of polyacrylamide with submicrometer size by dispersion polymerization
- Investigation of pH-dependent swelling behavior and kinetic parameters of novel poly(acrylamide-co-acrylic acid) hydrogels with spirulina
- Significantly improving the performance and dispersion morphology of porous g-C3N4/PANI composites by an interfacial polymerization method
- UV-Cured polypropylene mesh-reinforced composite polymer electrolyte membranes
- Silica aerogel/epoxy composites with preserved aerogel pores and low thermal conductivity
- Copper-amine complex solution as a low-emission catalyst for flexible polyurethane foam preparation
- Using an artificial neural network for the evaluation of the parameters controlling PVA/chitosan electrospun nanofibers diameter