Journal of Nanomedicine & Nanotechnology

Predictive analysis of nano-material attributes

3^rd International Conference on Nanotek & Expo

December 02-04, 2013 Hampton Inn Tropicana, Las Vegas, NV, USA

Alex V Vasenkov

Accepted Abstracts: J Nanomed Nanotechnol

Abstract:

Conventionally nanomaterials are defined as those of 1 to 100 nm size. Because of their tiny size and large surface to volume ratio, there is a significant concern that nanomaterials may be responsible for significant human health and environmental risks. It was recently recognized that traditional risk assessment procedures are inadequate for predicting the risks associated with the release of nanomaterials. The root of the problem is in an inadequate application of solid phase chemical principles (e.g., particle size, shape, and functionality) to the risk assessment of nanomaterials. Specifically, the ??solubility?? paradigm used to evaluate the risks associated with conventional contaminants must be replaced by a ??dispersivity?? paradigm. Technical challenges for the prediction of environmental risks of engineered nanomaterials include: (a) a lack of accepted measurement techniques and endpoints, (b) limited integration or use of data from published literature for predicting attributes of new materials, and (c) a lack of models to predict attributes. Those deficiencies were addressed in the proposed work by developing wiki style information system. Capability of this system for controlling access and ability for users to access data will be discussed.

Biography :

Alex V Vasenkov is Senior Principal Scientist at CFD Research Corporation. He received his Ph.D. degree in thermophysics and molecular physics from the Russian Academy of Science in 1996. With 15 years of experience, he is an expert in material design, self-assembly processing of nanomaterials, and multi-scale modeling. Dr. Vasenkov is a prime developer of Multi-Scale Computational Framework. His research was funded by federal agencies (NSF, DOE, and DoD) and industry (Samsung Advanced Institute of Technology, etc.). He is the co-author of a book chapter on multi-scale modeling of materials and over 30 publications in peer-reviewed journals