Evidence map›Paper›PMID 42826190›Full record

ArticleScience advances2026

Intramolecular charge redistribution of phosphate anions enabling ultrahigh-voltage lithium metal battery of 600 Wh kg

Shenghang Zhang, Fanteng Meng, Lixuan Yang, Hongquan Liu, Xiaofan Du, Xiangchun Zhuang, Bin Xie, Shitao Wang, Lixin Qiao, Jun Ma and 9 more

Abstract read
In one paragraph

Article in Science advances, 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

19 authors.

Shenghang ZhangQingdao Industrial Energy Storage Research Institute, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, P. R. China.ORCID 0009-0003-8245-9092
Fanteng MengQingdao Industrial Energy Storage Research Institute, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, P. R. China.ORCID 0009-0006-9389-0381
Lixuan YangQingdao Industrial Energy Storage Research Institute, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, P. R. China.
Hongquan LiuQingdao Industrial Energy Storage Research Institute, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, P. R. China.
Xiaofan DuQingdao Industrial Energy Storage Research Institute, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, P. R. China.ORCID 0000-0002-7415-6791
Xiangchun ZhuangQingdao Industrial Energy Storage Research Institute, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, P. R. China.
Bin XieQingdao Industrial Energy Storage Research Institute, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, P. R. China.
Shitao WangQingdao Industrial Energy Storage Research Institute, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, P. R. China.
Lixin QiaoQingdao Industrial Energy Storage Research Institute, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, P. R. China.ORCID 0000-0003-1892-5477
Jun MaQingdao Industrial Energy Storage Research Institute, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, P. R. China.ORCID 0000-0001-5016-8096
Shanmu DongQingdao Industrial Energy Storage Research Institute, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, P. R. China.ORCID 0000-0002-2493-3556
Chung-Kai ChangNational Synchrotron Radiation Research Center, Hsinchu 300092, Taiwan, Republic of China.ORCID 0000-0003-0039-1059
Yu-Chun ChuangNational Synchrotron Radiation Research Center, Hsinchu 300092, Taiwan, Republic of China.ORCID 0000-0002-2879-5381
Chang-Yang KuoNational Synchrotron Radiation Research Center, Hsinchu 300092, Taiwan, Republic of China.ORCID 0000-0003-1968-8020
Chien-Te ChenNational Synchrotron Radiation Research Center, Hsinchu 300092, Taiwan, Republic of China.
Zhiwei HuMax Planck Institute for Chemical Physics of Solids, Dresden D-01187, Germany.ORCID 0000-0003-0324-2227
Zili CuiQingdao Industrial Energy Storage Research Institute, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, P. R. China.ORCID 0000-0001-8677-8304
Gaojie XuQingdao Industrial Energy Storage Research Institute, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, P. R. China.ORCID 0000-0001-8810-7061
Guanglei CuiQingdao Industrial Energy Storage Research Institute, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, P. R. China.ORCID 0000-0001-5987-7569

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advancement of ultrahigh-voltage lithium metal batteries (LMBs) is hindered by the lack of efficient guidelines for electrolyte material development, with current approaches still largely relying on inefficient trial-and-error methods. Herein, we report a high-performance additive design and screening strategy. A library of phosphorus-centered candidates (containing 15,200 molecules) is constructed by simultaneously introducing electron-withdrawing and electron-donating groups to induce intramolecular charge redistribution and tune the electrochemical properties of the molecules. Through unsupervised machine learning-assisted screening, lithium diperfluoropinacolatophosphate (LiDPFP) is identified as the optimal candidate. LiDPFP features localized electron-deficient and electron-rich regions, which tune interfacial reactivity and enhance lithium ion (Li

Identifiers

PMID42826190
PMCPMC13632741

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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.