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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

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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 14: The Computational Complexity of Density Functional Theory
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
23 Mendeley
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Chapter title
The Computational Complexity of Density Functional Theory
Chapter number 14
Book title
Many-Electron Approaches in Physics, Chemistry and Mathematics
Published in
arXiv, January 2014
DOI 10.1007/978-3-319-06379-9_14
Book ISBNs
978-3-31-906378-2, 978-3-31-906379-9
Authors

James Daniel Whitfield, Norbert Schuch, Frank Verstraete

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 4%
United States 1 4%
Unknown 21 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 35%
Researcher 5 22%
Student > Bachelor 3 13%
Professor > Associate Professor 3 13%
Other 1 4%
Other 2 9%
Unknown 1 4%
Readers by discipline Count As %
Physics and Astronomy 16 70%
Chemistry 2 9%
Computer Science 2 9%
Biochemistry, Genetics and Molecular Biology 1 4%
Unknown 2 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 11 June 2020.
All research outputs
#8,767,543
of 16,360,960 outputs
Outputs from arXiv
#139,952
of 651,726 outputs
Outputs of similar age
#124,551
of 281,107 outputs
Outputs of similar age from arXiv
#5,782
of 23,320 outputs
Altmetric has tracked 16,360,960 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 651,726 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 78% of its peers.
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 281,107 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 23,320 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 74% of its contemporaries.