Evidence map›Paper›PMID 42657293›Full record

ReviewPrecision chemistry2026

Materials Databases: Foundations of Modern Digital Materials.

Yutian Zhuang, Xiaojin Yang, Chenyi Zhang, Xue Jia, Di Zhang, Mingzhe Li, Tongao Yao, Jiayu Peng, Zhengyang Gao, Weijie Yang and 1 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Precision chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Yutian ZhuangHebei Key Laboratory of Energy Storage Technology and Integrated Energy Utilization, North China Electric Power University, Baoding 071003, Hebei, China.
Xiaojin YangHebei Key Laboratory of Energy Storage Technology and Integrated Energy Utilization, North China Electric Power University, Baoding 071003, Hebei, China.
Chenyi ZhangHebei Key Laboratory of Energy Storage Technology and Integrated Energy Utilization, North China Electric Power University, Baoding 071003, Hebei, China.
Xue JiaAdvanced Institute for Materials Research (WPI-AIMR), Tohoku University, Sendai 980-8577, Japan.
Di ZhangAdvanced Institute for Materials Research (WPI-AIMR), Tohoku University, Sendai 980-8577, Japan.ORCID https://orcid.org/0000-0001-6347-9344
Mingzhe LiHebei Key Laboratory of Energy Storage Technology and Integrated Energy Utilization, North China Electric Power University, Baoding 071003, Hebei, China.
Tongao YaoHebei Key Laboratory of Energy Storage Technology and Integrated Energy Utilization, North China Electric Power University, Baoding 071003, Hebei, China.
Jiayu PengDepartment of Materials Design and Innovation, University at Buffalo, Buffalo, New York 14260, United States.
Zhengyang GaoHebei Key Laboratory of Energy Storage Technology and Integrated Energy Utilization, North China Electric Power University, Baoding 071003, Hebei, China.
Weijie YangHebei Key Laboratory of Energy Storage Technology and Integrated Energy Utilization, North China Electric Power University, Baoding 071003, Hebei, China.ORCID https://orcid.org/0000-0002-0232-1129
Hao LiAdvanced Institute for Materials Research (WPI-AIMR), Tohoku University, Sendai 980-8577, Japan.ORCID https://orcid.org/0000-0002-7577-1366

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Materials databases are increasingly the backbone of data-driven discovery for energy materials. In this

Indexed as

Artificial IntelligenceData StandardizationIntelligent Closed LoopMachine LearningMaterials Database

Identifiers

PMID42657293
PMCPMC13508504

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.