Evidence map›Paper›PMID 38202585›Full record

ArticleMolecules (Basel, Switzerland)2023

Enhancing Lithium-Sulfur Battery Performance by MXene, Graphene, and Ionic Liquids: A DFT Investigation.

Jianghui Cao, Sensen Xue, Jian Zhang, Xuefeng Ren, Liguo Gao, Tingli Ma, Anmin Liu

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. 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
0.5field-weighted citation impact, top 34% of its field
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, 4 citations in OpenAlex.

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

7 authors at 2 institutions in 2 countries.

Jianghui CaoState Key Laboratory of Fine Chemicals, School of Chemical Engineering, Dalian University of Technology, Panjin 124221, China.ORCID 0009-0005-1460-9508
Sensen XueState Key Laboratory of Fine Chemicals, School of Chemical Engineering, Dalian University of Technology, Panjin 124221, China.
Jian ZhangState Key Laboratory of Fine Chemicals, School of Chemical Engineering, Dalian University of Technology, Panjin 124221, China.
Xuefeng RenSchool of Ocean Science and Technology, Dalian University of Technology, Panjin 124221, China.
Liguo GaoState Key Laboratory of Fine Chemicals, School of Chemical Engineering, Dalian University of Technology, Panjin 124221, China.ORCID 0000-0002-5390-3663
Tingli MaDepartment of Materials Science and Engineering, China Jiliang University, Hangzhou 310018, China.
Anmin LiuState Key Laboratory of Fine Chemicals, School of Chemical Engineering, Dalian University of Technology, Panjin 124221, China.ORCID 0000-0002-4760-3429
Dalian University of Technology · CNKyushu Institute of Technology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The efficacy of lithium-sulfur (Li-S) batteries crucially hinges on the sulfur immobilization process, representing a pivotal avenue for bolstering their operational efficiency and durability. This dissertation primarily tackles the formidable challenge posed by the high solubility of polysulfides in electrolyte solutions. Quantum chemical computations were leveraged to scrutinize the interactions of MXene materials, graphene (Gr) oxide, and ionic liquids with polysulfides, yielding pivotal binding energy metrics. Comparative assessments were conducted with the objective of pinpointing MXene materials, with a specific focus on d-Ti

Indexed as

density functional theoryd-Ti3C2 MXenegraphene oxideionic liquidspolysulfides dissolution

Identifiers

PMID38202585
PMCPMC10779824
OpenAlexW4389952204

What OpenQuestion holds

Textmetadata
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.