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Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues

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Structural Analysis using Computational Chemistry (Hardcover) Loot Price: R2,398
Discovery Miles 23 980
Structural Analysis using Computational Chemistry (Hardcover): Norma-Aurea Rangel-Vazquez

Structural Analysis using Computational Chemistry (Hardcover)

Norma-Aurea Rangel-Vazquez

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Loot Price R2,398 Discovery Miles 23 980 | Repayment Terms: R225 pm x 12*

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Computational chemistry is a science that allows researchers to study, characterize and predict the structure and stability of chemical systems. In other words: studying energy differences between different states to explain spectroscopic properties and reaction mechanisms at the atomic level. This field is gaining in relevance and strength due to field applications from chemical engineering, electrical engineering, electronics, biomedicine, biology, materials science, to name but a few. Structural Analysis using Computational Chemistry arises from the need to present the progress of computational chemistry in various application areas. Technical topics discussed in the book include: * Quantum mechanics and structural molecular study (AM1)* Application of quantum models in molecular analysis* Molecular analysis of insulin through controlled adsorption in hydrogels based on chitosan* Analysis and molecular characterization of organic materials for application in solar cells* Determination of thermodynamic properties of ionic liquids through molecular simulation

General

Imprint: River Publishers
Country of origin: Denmark
Release date: September 2016
First published: 2016
Editors: Norma-Aurea Rangel-Vazquez
Dimensions: 234 x 156 x 18mm (L x W x T)
Format: Hardcover
Pages: 182
ISBN-13: 978-87-933799-5-4
Categories: Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General
Books > Professional & Technical > Industrial chemistry & manufacturing technologies > Industrial chemistry > Plastics & polymers technology
Books > Professional & Technical > Mechanical engineering & materials > Materials science > General
LSN: 87-933799-5-1
Barcode: 9788793379954

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