Skip to main content

Save up to 20% on Elsevier print and eBooks with free shipping. No promo code needed.

Save up to 20% on print and eBooks.

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

1st Edition - August 21, 2022

Authors: Haibo Ma, Ulrich Schollwöck, Zhigang Shuai

Language: English
Paperback ISBN:
9 7 8 - 0 - 3 2 3 - 8 5 6 9 4 - 2
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 8 5 6 9 5 - 9

Density Matrix Renormalization Group (DMRG)-based Approaches in Computational Chemistry outlines important theories and algorithms of DMRG-based approaches and explores their… Read more

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

Purchase options

LIMITED OFFER

Save 50% on book bundles

Immediately download your ebook while waiting for your print delivery. No promo code is needed.

Institutional subscription on ScienceDirect

Request a sales quote
Density Matrix Renormalization Group (DMRG)-based Approaches in Computational Chemistry outlines important theories and algorithms of DMRG-based approaches and explores their use in computational chemistry. Beginning with an introduction to DMRG and DMRG-based approaches, the book goes on to discuss the key theories and applications of DMRG, from DMRG for semi-empirical and ab-initio quantum chemistry, to DMRG in embedded environments, frequency spaces and quantum dynamics. Drawing on the experience of its expert authors, sections detail recent ideas and key developments, providing an up-to-date view of current developments in the field for students and researchers in quantum chemistry.