Vinoj Vasu currently serves as Assistant Professor at Department of Chemical Engineering, School of Engineering, Coimbatore Campus. His areas of research include Polymer Product Design and Materials Science.
|2006||B. Tech. in Polymer Technology||Cochin University of Science and Technology|
|1988||B. E. in Polymer Engineering||University of Pune, Maharashtra, India|
The successful synthesis of a tailored material would depend upon the development of successful multiscale modelling techniques. The characteristics of materials arise from their composition across various scales. The interaction mechanisms on the different scales and their influence on the effective, macroscopic properties are of enormous importance for understanding material behavior in general, and for designing material behavior by demand, in particular.
|MEC 100||Engineering Mechanics|
|CHE 351||Modern Separation Methods|
|CHE 372||Transport Phenomena Laboratory|
|CHE 384||Plastics - Materials, Processing and Properties|
|CHE 385||Composites for Aerospace Applications|
The work on advanced materials in the CoE-AMGT (Center of Excellence in Advanced Materials and Green Technologies) and the experimental data being generated in material synthesis labs and characterization labs, has led me into the field of multiscale modelling.
Multiscale modeling in physics and chemistry is aimed at gaining understanding of material properties or system behavior on one level, using information or models from multiple levels. At each level specific approaches are used for achieving an accurate description of a system. The following levels are usually distinguished: level of quantum mechanical models (information about electrons is included), level of molecular dynamics models (information about individual atoms is included), mesoscale or nano level (information about groups of atoms and molecules is included), level of continuum models, level of device models. Each level addresses a phenomenon over a specific window of length and time. Multiscale modeling is particularly important in integrated computational materials engineering since it allows to predict material properties or system behavior based on knowledge of the atomistic structure and properties of elementary processes.