REVIEWS IN COMPUTATIONAL CHEMISTRY
THE LATEST VOLUME IN THE
SERIES, THE INVALUABLE REFERENCE TO METHODS AND TECHNIQUES IN COMPUTATIONAL CHEMISTRY
Reviews in Computational Chemistry
reference texts assist researchers in selecting and applying new computational chemistry methods to their own research. Bringing together writings from leading experts in various fields of computational chemistry, V
olume 32
covers topics including global structure optimization, time-dependent density functional tight binding calculations, non-equilibrium self-assembly, cluster prediction, and molecular simulations of microphase formers and deep eutectic solvents. In keeping with previous books in the series,
Volume 32
uses a non-mathematical style and tutorial-based approach that provides students and researchers with easy access to computational methods outside their area of expertise.
The chapters comprising
are connected by two themes: methods that can be broadly applied to a variety of systems, and special considerations required when modeling specific system types. Each in-depth chapter contains background and theory, strategies for using the methods correctly, mini-tutorials and best practices, and critical literature reviews highlighting advanced applications. Essential reading for both newcomers and experts in the area of molecular modeling, this state-of-the-art resource:
Covers topics such as non-deterministic global optimization (NDGO) approaches and excited-state dynamics calculations
Contains a detailed overview of deep eutectic solvents (DESs) and simulation methods
Presents methodologies for investigating chemical systems that form microphases with periodic morphologies such as lamellae and cylinders
Features step-by-step tutorials on applying techniques to probe and understand the chemical dynamics exhibited in a system
Includes detailed subject indices on each volume in the series and up-to-date compendiums of molecular modeling software, services, programs, suppliers, and other useful information
Reviews in Computational Chemistry, Volume 32
is a must-have guide for computational chemists, theoretical chemists, pharmaceutical chemists, biological chemists, chemical engineers, researchers in academia and industry, and graduate students involved in molecular modeling.