Evidence map›Paper›PMID 41824161›Full record

ArticleNano-micro letters2026

High Performance Zn-Mn Cement Batteries for the Next Generation of Buildings.

Zhaolong Liu, Pan Feng, Long Yuan, Ruidan Liu, Xiangyu Meng, Guanghui Tao, Jian Chen, Zaiping Guo, Changwen Miao

Abstract read
In one paragraph

Article in Nano-micro letters, 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

9 authors.

Zhaolong LiuState Key Laboratory of Engineering Materials for Major Infrastructure, Southeast University, Nanjing, 210008, People's Republic of China.
Pan FengState Key Laboratory of Engineering Materials for Major Infrastructure, Southeast University, Nanjing, 210008, People's Republic of China. pan.feng@seu.edu.cn.
Long YuanState Key Laboratory of Engineering Materials for Major Infrastructure, Southeast University, Nanjing, 210008, People's Republic of China.
Ruidan LiuState Key Laboratory of Engineering Materials for Major Infrastructure, Southeast University, Nanjing, 210008, People's Republic of China.
Xiangyu MengState Key Laboratory of Engineering Materials for Major Infrastructure, Southeast University, Nanjing, 210008, People's Republic of China.
Guanghui TaoState Key Laboratory of Engineering Materials for Major Infrastructure, Southeast University, Nanjing, 210008, People's Republic of China.
Jian ChenState Key Laboratory of Engineering Materials for Major Infrastructure, Southeast University, Nanjing, 210008, People's Republic of China.
Zaiping GuoSchool of Chemical Engineering and Advanced Materials, The University of Adelaid, Adelaide, SA, 5005, Australia. zaiping.guo@adelaide.edu.au.
Changwen MiaoState Key Laboratory of Engineering Materials for Major Infrastructure, Southeast University, Nanjing, 210008, People's Republic of China. mcw@cnjsjk.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Integrating energy storage into buildings through cement-based structural batteries offers a transformative pathway toward net-zero energy infrastructure. However, current cementitious structural batteries remain hampered by low energy density and poor cycle stability, largely due to the presumed electrochemical inertness of cement and severe side reactions in the alkaline cementitious environment. Herein, we identify the unexplored role of cement as functional separators containing ZnSO

Indexed as

Active cementitious separatorCapacity enhancementEnergy storage mechanismStructural energy storageZn–Mn batteries

Identifiers

PMID41824161
PMCPMC12988134

What OpenQuestion holds

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Registered trials

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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.