Reviews in Computational Chemistry, Volume 29

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Éditeur :

Wiley


Collection :

Reviews in Computational Chemistry

Paru le : 2016-03-09

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Description

The Reviews in Computational Chemistry series brings together leading authorities in the field to teach the newcomer and update the expert on topics centered on molecular modeling, such as computer-assisted molecular design (CAMD), quantum chemistry, molecular mechanics and dynamics, and quantitative structure-activity relationships (QSAR). This volume, like those prior to it, features chapters by experts in various fields of computational chemistry. Topics in Volume 29 include: Noncovalent Interactions in Density-Functional Theory Long-Range Inter-Particle Interactions:  Insights from Molecular Quantum Electrodynamics (QED) Theory Efficient Transition-State Modeling using Molecular Mechanics Force Fields for the Everyday Chemist Machine Learning in Materials Science:  Recent Progress and Emerging Applications Discovering New Materials via a priori Crystal Structure Prediction Introduction to Maximally Localized Wannier Functions Methods for a Rapid and Automated Description of Proteins: Protein Structure, Protein Similarity, and Protein Folding
Pages
480 pages
Collection
Reviews in Computational Chemistry
Parution
2016-03-09
Marque
Wiley
EAN papier
9781119103936
EAN PDF
9781119157564

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
480
Taille du fichier
21535 Ko
Prix
201,45 €
EAN EPUB
9781119157557

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
480
Taille du fichier
31744 Ko
Prix
201,45 €