1st Edition

Nanoscience and Computational Chemistry Research Progress

Edited By Andrew G. Mercader, Eduardo A. Castro, A. K. Haghi Copyright 2013
    488 Pages 130 B/W Illustrations
    by Apple Academic Press

    488 Pages 130 B/W Illustrations
    by Apple Academic Press

    This book provides innovative chapters covering new methodologies and important applications in the fields of nanoscience and computational chemistry. The book offers scope for academics, researchers, and engineering professionals to present their research and development works that have potential for applications in several disciplines of nano and computational chemistry.

    Contributions range from new methods to novel applications of existing methods to help readers gain an understanding of the material and/or structural behavior of new and advanced systems. This book is a high quality tool for researchers, providing an overview of the field, explaining the basic underlying theory at a meaningful level, and giving numerous comparisons of different methods.

    Advances on Applications of Nanotechnology to Drug Delivery: A Biopharmaceutical Perspective
    Radio-Labelled Nanoparticles Using (beta sign)+ Radionuclides as Diagnostic Agents: An Overview and a Chemotopological Approach
    Carbon-Based High Aspect Ratio Polymer Nanocomposites
    Ultrafast Laser Dynamics on Molecular Nanomagnets
    Alternant Conjugated Organic Oligomers as Templates for Sustainable Carbon Nanotube-Based Molecular Nanowire Technologies
    Designing of Some Novel Molecular Templates Suitable for Hydrogen Storage Applications: A Theoretical Approach
    Computational Insights of Adsorption and Catalysis Within Nanoporous Zeolites 
    Cluster Bundlet Model of Single-Wall C, BC(2 in subscript)N and BN Nanotubes, Cones and Horns 
    Computational Strategies for Nonlinear Optical Properties of Carbon Nano-Systems
    Modern Density Functional Theory: A Useful Tool for the Computational Study of Nanotechnology
    Molecular Dynamics Simulations: Applicability and Scopes In Computational Biochemistry
    Structural Information from Molecular Descriptors Based on The Monte Carlo Method: Applications to Nanoscale Structures


    Mercader, Andrew G. | Castro, Eduardo A. | Haghi, A. K.|