Evidence map›Paper›PMID 37110937›Full record

ArticleNanomaterials (Basel, Switzerland)2023

High-Accuracy Neural Network Interatomic Potential for Silicon Nitride.

Hui Xu, Zeyuan Li, Zhaofu Zhang, Sheng Liu, Shengnan Shen, Yuzheng Guo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

6 authors.

Hui XuThe Institute of Technological Sciences, Wuhan University, Wuhan 430072, China.ORCID 0000-0001-5326-5094
Zeyuan LiSchool of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China.
Zhaofu ZhangThe Institute of Technological Sciences, Wuhan University, Wuhan 430072, China.
Sheng LiuThe Institute of Technological Sciences, Wuhan University, Wuhan 430072, China.
Shengnan ShenThe Institute of Technological Sciences, Wuhan University, Wuhan 430072, China.
Yuzheng GuoSchool of Electrical and Automation, Wuhan University, Wuhan 430072, China.

Funding

National Natural Science Foundation of China 62174122, U2241244, 51727901
6 · The paper itself

Abstract

In the field of machine learning (ML) and data science, it is meaningful to use the advantages of ML to create reliable interatomic potentials. Deep potential molecular dynamics (DEEPMD) are one of the most useful methods to create interatomic potentials. Among ceramic materials, amorphous silicon nitride (SiN

Indexed as

amorphous silicon nitridedeep potentialdensity functional theorymachine learningmolecular dynamics

Identifiers

PMID37110937
PMCPMC10145480

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.