Article - 31 Jan 2010
Materiomics is defined as the study of the material properties of natural and synthetic materials by examining fundamental links between processes, structures and properties at multiple scales, by...
Article - 23 Jul 2003
A review of the current understanding of adhesion between a synthetic polymer and a second material is presented. The information gives a broad picture of the issues and understanding. How materials...
Article - 18 Jul 2006
The formation of a cylinder-like helical conformation induced by chloroform was observed from a conjugated polymer, which was prepared by Knoevenagel condensation using N-octyl-3, 6-diformylcarbazole...
Article - 21 Nov 2012
Polymers are the most widely used materials in the pharmaceutical and medical devices industry. However, there have been instances of unexpected product failure and yield deterioration driven by...
Article - 6 Jun 2022
In research published in the Journal of Molecular Liquids, researchers summarized recent research on rheological properties and discussed the connection between rheology and emulsifiers, oil...
Article - 15 Jun 2022
The “Rheology and Processing of Polymers” Special Issue contains the most recent discoveries in the field of rheology and polymer processing, featuring cutting-edge research concentrating on the...
Article - 11 Jan 2018
There is a lot of potential benefit for industry to have self-healing materials, particularly because the key benefits at the top of the pyramid would be that it leads to a longer lifecycle of the...
Article - 13 Aug 2018
Computational methods that can simulate reactions, how a molecule behaves in a certain environment and what properties a material will exhibit (amongst other areas) have been gaining interest in...
Article - 17 Jun 2015
Bruker’s PeakForce Tapping is an exclusive operating mode in atomic force microscope (AFM) technology following the launch of TappingMode.
Article - 21 Jan 2022
Understanding defect dynamics and evolution in HEAs is complicated due to the wide and intricate configurational space in HEAs. Machine learning techniques have significant potential in defect...