Evidence map›Paper›PMID 25691829›Full record

ArticleJournal of chemical theory and computation2015

Multipolar Ewald methods, 1: theory, accuracy, and performance.

Timothy J Giese, Maria T Panteva, Haoyuan Chen, Darrin M York

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.2field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 57 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. QDπ: A Quantum Deep Potential Interaction Model for Drug Discovery.Journal of chemical theory and computation · 2023
    Article
  10. Article
  11. Article
  12. A compression strategy for particle mesh Ewald theory.The Journal of chemical physics · 2021
    Article
  13. Article
  14. Article
  15. Review
  16. On the importance of accounting for nuclear quantum effects in ab initio calibrated force fields in biological simulations.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  17. Article
  18. Quantum mechanical force fields for condensed phase molecular simulations.Journal of physics. Condensed matter : an Institute of Physics journal · 2017
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Timothy J GieseCenter for Integrative Proteomics Research, BioMaPS Institute for Quantitative Biology and Department of Chemistry and Chemical Biology, Rutgers University, Piscataway, New Jersey 08854-8087, United States
Maria T Panteva
Haoyuan Chen
Darrin M York
Rutgers, The State University of New Jersey · US

Funding

Multi-Scale Quantum Models for Ribozyme CatalysisR01GM062248 · NIGMS · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Darrin M York · 2001 to 2026
$7.1M
NIGMS NIH HHS GM62248NIGMS NIH HHS R01 GM062248
6 · The paper itself

Abstract

The Ewald, Particle Mesh Ewald (PME), and Fast Fourier–Poisson (FFP) methods are developed for systems composed of spherical multipole moment expansions. A unified set of equations is derived that takes advantage of a spherical tensor gradient operator formalism in both real space and reciprocal space to allow extension to arbitrary multipole order. The implementation of these methods into a novel linear-scaling modified “divide-and-conquer” (mDC) quantum mechanical force field is discussed. The evaluation times and relative force errors are compared between the three methods, as a function of multipole expansion order. Timings and errors are also compared within the context of the quantum mechanical force field, which encounters primary errors related to the quality of reproducing electrostatic forces for a given density matrix and secondary errors resulting from the propagation of the approximate electrostatics into the self-consistent field procedure, which yields a converged, variational, but nonetheless approximate density matrix. Condensed-phase simulations of an mDC water model are performed with the multipolar PME method and compared to an electrostatic cutoff method, which is shown to artificially increase the density of water and heat of vaporization relative to full electrostatic treatment.

Indexed as

Quantum TheoryStatic ElectricityVolatilizationWaterWater

Identifiers

PMID25691829
PMCPMC4325605
OpenAlexW2428079500

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.