Evidence map›Paper›PMID 38673167›Full record

ArticleMaterials (Basel, Switzerland)2024

Machine Learning-Accelerated First-Principles Study of Atomic Configuration and Ionic Diffusion in Li

Changlin Qi, Yuwei Zhou, Xiaoze Yuan, Qing Peng, Yong Yang, Yongwang Li, Xiaodong Wen

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Changlin QiState Key Laboratory of Coal Conversion, Institute of Coal Chemistry, Chinese Academy of Sciences, Taiyuan 030001, China.
Yuwei ZhouState Key Laboratory of Coal Conversion, Institute of Coal Chemistry, Chinese Academy of Sciences, Taiyuan 030001, China.
Xiaoze YuanUniversity of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing 100049, China.
Qing PengState Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China.ORCID 0000-0002-8281-8636
Yong YangState Key Laboratory of Coal Conversion, Institute of Coal Chemistry, Chinese Academy of Sciences, Taiyuan 030001, China.
Yongwang LiNational Energy Center for Coal to Clean Fuels, Synfuels China Co., Ltd., Huairou District, Beijing 101400, China.
Xiaodong WenState Key Laboratory of Coal Conversion, Institute of Coal Chemistry, Chinese Academy of Sciences, Taiyuan 030001, China.

Funding

CAS Project for Young Scientists in Basic Research YSBR-005High-level Innovation Research Institute Program of Guangdong Province No. 2020B0909010003Key Research Program of Frontier Sciences CAS ZDBS-LY-7007LiYing Program of the In-stitute of Mechanics, Chinese Academy of Sciences E1Z1011001Major Research plan of the National Natural Science Foundation of China (92045303), In-formatization Plan of Chinese Academy of Sciences, Grant No. CAS-WX2021SF0110National Key R&D Program of China No. 2022YFA1604103National Natural Science Foundation of China No. 12272378National Science Fund for Distin-guished Young Scholars of China No. 22225206Science and Technology Plan Project of Inner Mongolia Autonomous Region of China 2021GG0309the Autonomous Research Project of SKLCC 2023BWZ005
6 · The paper itself

Abstract

The solid electrolyte Li

Indexed as

ab initio molecular dynamicsEwald-summation-based electrostatic energyfirst-principles calculationLi10GeP2S12 solid electrolytemachine learning- and active-learning-based LAsou method

Identifiers

PMID38673167
PMCPMC11051406

What OpenQuestion holds

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LicenceCC BY
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.