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Many-Electron Approaches in Physics, Chemistry and Mathematics

Overview of attention for book
Cover of 'Many-Electron Approaches in Physics, Chemistry and Mathematics'

Table of Contents

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    Book Overview
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    Chapter 1 Relativistic Quantum Theory of Many-Electron Systems
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    Chapter 2 Spurious Modes in Dirac Calculations and How to Avoid Them
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    Chapter 3 Tensor Product Approximation (DMRG) and Coupled Cluster Method in Quantum Chemistry
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    Chapter 4 Quantum Cluster Equilibrium
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    Chapter 5 Linear Response Methods in Quantum Chemistry
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    Chapter 6 Progress on New Approaches to Old Ideas: Orbital-Free Density Functionals
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    Chapter 7 Time-Dependent Density Functional Theory
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    Chapter 8 Density Functional Theory for Strongly-Interacting Electrons
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    Chapter 9 Towards the Computational Design of Compounds from First Principles
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    Chapter 10 Application of (Kohn–Sham) Density-Functional Theory to Real Materials
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    Chapter 11 The Quantum Energy Agrees with the Müller Energy up to Third Order
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    Chapter 12 Mathematical Aspects of Density Functionals and Density Matrix Functionals in Quantum Chemistry
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    Chapter 13 Some (Important?) Unsolved Mathematical Problems in Molecular Simulation
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    Chapter 14 The Computational Complexity of Density Functional Theory
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    Chapter 15 Computational Techniques for Density Functional Based Molecular Dynamics Calculations in Plane-Wave and Localized Basis Sets
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    Chapter 16 Towards the Information-Theoretic Construction of an Orbital-Free Kinetic-Energy Functional
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    Chapter 17 Lieb-Robinson Bounds and the Simulation of Time-Evolution of Local Observables in Lattice Systems
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    Chapter 18 Electronic Structure Calculations with LDA $$+$$ DMFT
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    Chapter 19 The GW Approximation for the Electronic Self-Energy
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    Chapter 20 Levy-Lieb Principle meets Quantum Monte Carlo
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    Chapter 21 The New Resonating Valence Bond Method for Ab-Initio Electronic Simulations
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    Chapter 22 Mathematical Perspective on Quantum Monte Carlo Methods
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    Chapter 23 On Some Open Problems in Many-Electron Theory
Attention for Chapter 3: Tensor Product Approximation (DMRG) and Coupled Cluster Method in Quantum Chemistry
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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Citations

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Chapter title
Tensor Product Approximation (DMRG) and Coupled Cluster Method in Quantum Chemistry
Chapter number 3
Book title
Many-Electron Approaches in Physics, Chemistry and Mathematics
Published in
arXiv, January 2014
DOI 10.1007/978-3-319-06379-9_3
Book ISBNs
978-3-31-906378-2, 978-3-31-906379-9
Authors

Örs Legeza, Thorsten Rohwedder, Reinhold Schneider, Szilárd Szalay

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 4%
Switzerland 1 4%
Unknown 26 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 29%
Student > Ph. D. Student 5 18%
Professor 5 18%
Student > Master 4 14%
Student > Doctoral Student 1 4%
Other 3 11%
Unknown 2 7%
Readers by discipline Count As %
Chemistry 10 36%
Physics and Astronomy 7 25%
Mathematics 3 11%
Computer Science 2 7%
Earth and Planetary Sciences 1 4%
Other 1 4%
Unknown 4 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 October 2013.
All research outputs
#19,547,074
of 24,903,209 outputs
Outputs from arXiv
#468,873
of 1,013,918 outputs
Outputs of similar age
#232,817
of 317,944 outputs
Outputs of similar age from arXiv
#2,671
of 10,848 outputs
Altmetric has tracked 24,903,209 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,013,918 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 317,944 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10,848 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.