Density Matrix Renormalization Group (DMRG)-based Approaches in Computational Chemistry is a comprehensive guide to DMRG-based approaches and their applications in computational chemistry. It discusses key theories, algorithms, and recent developments, providing an up-to-date view of the field for students and researchers.

Format: Paperback / softback
Length: 336 pages
Publication date: 16 September 2022
Publisher: Elsevier - Health Sciences Division

Density Matrix Renormalization Group (DMRG)-based Approaches in Computational Chemistry is a comprehensive guide that delves into the essential theories and algorithms of DMRG-based approaches in computational chemistry. It provides a thorough exploration of their applications in this field, ranging from semi-empirical and ab-initio quantum chemistry to DMRG in embedded environments, frequency spaces, and quantum dynamics. The book is authored by esteemed experts in the field, who offer their insights and expertise through detailed sections that highlight recent ideas and key developments. This book serves as an invaluable resource for students and researchers in quantum chemistry, offering a current and up-to-date perspective on the advancements in this dynamic field.

Density Matrix Renormalization Group (DMRG)-based Approaches in Computational Chemistry

Density Matrix Renormalization Group (DMRG)-based Approaches in Computational Chemistry is a comprehensive guide that delves into the essential theories and algorithms of DMRG-based approaches in computational chemistry. It provides a thorough exploration of their applications in this field, ranging from semi-empirical and ab-initio quantum chemistry to DMRG in embedded environments, frequency spaces, and quantum dynamics. The book is authored by esteemed experts in the field, who offer their insights and expertise through detailed sections that highlight recent ideas and key developments. This book serves as an invaluable resource for students and researchers in quantum chemistry, offering a current and up-to-date perspective on the advancements in this dynamic field.

DMRG is a powerful method for studying quantum systems, particularly those with many particles or complex interactions. It involves solving a set of linear equations that describe the system's energy and density matrix, and it can be used to simulate a wide range of physical phenomena, from small molecules to solid-state materials. One of the key advantages of DMRG is that it can handle systems with large numbers of particles, which would be computationally prohibitive using other methods. This makes it an ideal tool for studying complex systems, such as quantum chemistry and materials science.

In addition to its applications in quantum chemistry, DMRG has also been used to study a wide range of other systems, including spin systems, magnetic materials, and biological systems. For example, DMRG has been used to study the structure and dynamics of proteins, which are essential for many biological processes. It has also been used to study the behavior of electrons in materials, which is important for developing new electronic devices.

One of the challenges of using DMRG is that it can be computationally expensive, particularly for large systems. However, recent advances in computing technology have made it possible to simulate larger and more complex systems using DMRG. This has opened up new opportunities for studying a wide range of systems that were previously inaccessible.

In conclusion, Density Matrix Renormalization Group (DMRG)-based Approaches in Computational Chemistry is a valuable resource for students and researchers in quantum chemistry and other fields. It provides a comprehensive overview of the essential theories and algorithms of DMRG-based approaches, and it explores their applications in a wide range of systems. By leveraging the power of DMRG, researchers can gain a deeper understanding of complex systems and develop new technologies that have the potential to transform our world.

Dimension: 229 x 152 (mm)
ISBN-13: 9780323856942