Evidence map›Paper›PMID 40488376›Full record

ArticleThe Journal of chemical physics2025

Gauss-Legendre-spherical-t (GLST) cubature-based factorization of long-range electrostatics in simulations.

Wonmuk Hwang, James E Gonzales, Bernard R Brooks

Abstract read
In one paragraph

Article in The Journal of chemical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Wonmuk HwangDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas 77843, USA.ORCID 0000-0001-7514-3186
James E GonzalesDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas 77843, USA.ORCID 0009-0009-7696-7561
Bernard R BrooksLaboratory of Computational Biology, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.ORCID 0000-0002-3586-2730

Funding

Protein Production CoreP01AI143565 · NIAID · DANA-FARBER CANCER INST · PI ELLIS L REINHERZ · 2020 to 2026
$19.9M
Development Of Advanced Computer Hardware And SoftwareZIHHL001052 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI BROOKS, BERNARD R · 2009 to 2025
$12.2M
Structural characterization of MPER-TM immunogensP01AI181597 · NIAID · DANA-FARBER CANCER INST · PI ELLIS L REINHERZ · 2024 to 2026
$9.1M
Intramural NIH HHS ZIH HL001052NIAID NIH HHS P01 AI143565NIAID NIH HHS P01 AI181597
6 · The paper itself

Abstract

We develop a highly parallelizable algorithm to calculate long-range electrostatic interactions named the Gauss-Legendre-Spherical-t (GLST) cubature method. Motivated by our recent spherical grid and treecode method, we utilize the Gauss-Legendre quadrature for integration over a finite range and spherical t-design for integration over a unit sphere. The resulting GLST cubature breaks the long-range interaction term into a sum of terms that can be calculated in parallel with minimal inter-processor communication. The simulation box is divided into cells that are grouped with a separate GLST cubature applied to each group, based on their distance from the atom or cell for which the long-range interaction is calculated. Periodic boundary conditions are handled at two levels: first by "wrapping-around" other cells about the cell under consideration, then by repeating the wrapped-around box over a pre-computed number of times to make the relative error of the calculated force meet the target accuracy. With its high granularity, tunable accuracy, and adaptability to different box geometries, the GLST method is suitable for the simulation of large systems on computer hardware where many cores or threads are available.

Identifiers

PMID40488376
PMCPMC12151553

What OpenQuestion holds

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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.