Reviews in Computational Chemistry

<p>The <b>Reviews in Computational Chemistry</b> 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:</p> <ul> <li>Noncovalent Interactions in Density-Functional Theory</li> <li>Long-Range Inter-Particle Interactions:  Insights from Molecular Quantum Electrodynamics (QED) Theory</li> <li>Efficient Transition-State Modeling using Molecular Mechanics Force Fields for the Everyday Chemist</li> <li>Machine Learning in Materials Science:  Recent Progress and Emerging Applications</li> <li>Discovering New Materials via <i>a priori </i>Crystal Structure Prediction</li> <li>Introduction to Maximally Localized Wannier Functions</li> <li>Methods for a Rapid and Automated Description of Proteins: Protein Structure, Protein Similarity, and Protein Folding</li> </ul>