£145.39

Elsevier DMRG-based Approaches in Computational Chemistry

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Description

Expand your understanding of advanced quantum chemistry with Density Matrix Renormalization Group (DMRG)-based Approaches in Computational Chemistry. Published by Elsevier, this text provides a comprehensive look at the theories and algorithms that drive modern DMRG-based methods. The book begins with a foundational introduction to DMRG, making it accessible for those looking to grasp the core principles of these approaches. From there, it transitions into technical discussions regarding key theories and practical applications. You will find detailed information on using DMRG for both semi-empirical and ab-initio quantum chemistry, as well as its utility in embedded environments. Readers can also explore specialized topics including frequency spaces and quantum dynamics. By drawing on the extensive experience of expert authors, this work presents recent ideas and key developments in the field. This resource is designed to serve as a modern guide for researchers and students working within the realm of physical chemistry and computational modeling.

Key Features

Covers essential theories and algorithms of DMRG-based approaches for computational chemistry research.

Provides a clear introduction to DMRG fundamentals to build a strong theoretical foundation.

Explores practical applications in both semi-empirical and ab-initio quantum chemistry settings.

Details the use of DMRG within embedded environments, frequency spaces, and quantum dynamics.

Includes recent ideas and key developments shared by expert authors in the field.

Serves as an up-to-date resource for scientists studying physical chemistry and computational methods.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
16 September 2022
Listed Since
29 September 2021

Barcode

No barcode data available

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