Evidence map›Paper›PMID 42425921›Full record

ArticleJournal of computational chemistry2026

Lithium Surface Restructuring and Dendrite-Like Protrusion Formation in Li-S Electrolytes From Reactive Molecular Simulations With Machine-Learned Potentials.

Mirella Fonda Maahury, Sabrina Chin-Yun Shen, Kayvon Tabrizi, Sam Walton Norwood, Cedric Naravisnu Purwanto, Ganes Shukri, Hasan Al Rasyid, Aditya Wibawa Sakti

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of computational 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

8 authors.

Mirella Fonda MaahuryDepartment of Chemistry and Biochemistry, Waseda University, Tokyo, Japan.
Sabrina Chin-Yun ShenMirror Physics Corporation, New York, New York, USA.
Kayvon TabriziMirror Physics Corporation, New York, New York, USA.
Sam Walton NorwoodMirror Physics Corporation, New York, New York, USA.
Cedric Naravisnu PurwantoDepartment of Chemistry and Biochemistry, Waseda University, Tokyo, Japan.
Ganes ShukriDepartment of Engineering Physics, Bandung Institute of Technology, Bandung, Indonesia.
Hasan Al RasyidDepartment of Electrical Engineering, Nurul Jadid University, Probolinggo, Indonesia.
Aditya Wibawa SaktiDepartment of Chemistry and Biochemistry, Waseda University, Tokyo, Japan.ORCID https://orcid.org/0000-0003-1515-4400

Funding

Institut Teknologi Bandung 959/IT1.B07.1/TA.00/2024
6 · The paper itself

Abstract

Lithium-metal anodes present remarkable theoretical capacity for advanced batteries. However, their practical application is hindered by interfacial instabilities and dendritic lithium morphologies, which undermine safety and longevity. This study utilizes machine-learned interatomic potentials to conduct molecular dynamics simulations of the interface between a lithium-metal anode and an electrolyte composed of elemental sulfur (

Indexed as

BASISLi‐S batterylithium protrusionMLIPmolecular dynamics

Identifiers

PMID42425921
PMCPMC13349908

What OpenQuestion holds

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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.