Evidence map›Paper›PMID 31731863›Full record

ArticleThe Journal of chemical physics2019

Leveraging local MP2 to reduce basis set superposition errors: An efficient first-principles based force-field for carbon dioxide.

Ying Yuan, Zhonghua Ma, Feng Wang

Abstract read
In one paragraph

Article in The Journal of chemical physics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Predicting Properties of Cyclohexene with Electronic Structure Methods through Adaptive Force Matching.The journal of physical chemistry. C, Nanomaterials and interfaces · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. 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.

Ying YuanDepartment of Chemistry and Biochemistry, University of Arkansas, Fayetteville, Arkansas 72701, USA.ORCID 0000000233236912
Zhonghua MaDepartment of Chemistry and Biochemistry, University of Arkansas, Fayetteville, Arkansas 72701, USA.
Feng WangDepartment of Chemistry and Biochemistry, University of Arkansas, Fayetteville, Arkansas 72701, USA.ORCID 0000000227403534

Funding

Efficient and Accurate Force Fields for Computer-Aided Drug DesignR01GM120578 · NIGMS · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI Feng Wang · 2017 to 2026
$1.9M
NIGMS NIH HHS R01 GM120578
6 · The paper itself

Abstract

Pairwise additive model potentials for CO

Identifiers

PMID31731863
PMCPMC7008884

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.