Evidence map›Paper›PMID 41086031›Full record

ArticleACS nano2025

Rational Design of Metal-Doped Graphitic Materials for Enhanced Lithium-Sulfur Batteries.

Vy Nguyen, Xueyan Lin, Rishav Baranwal, Haiyan Tan, David Wright, Zhaoyang Fan, Bin Wang

Abstract read
In one paragraph

Article in ACS nano, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Synergistic Integration of Fe-NAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Article
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.

Vy NguyenSchool of Sustainable Chemical, Biological and Materials Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States.
Xueyan LinSchool for Engineering of Matter, Transport & Energy, Arizona State University, Tempe, Arizona 85281, United States.ORCID 0000-0003-3380-215X
Rishav BaranwalSchool for Engineering of Matter, Transport & Energy, Arizona State University, Tempe, Arizona 85281, United States.
Haiyan TanInstitute of Materials Science, University of Connecticut, Storrs, Connecticut 06269, United States.
David WrightLeroy Eyring Center for Solid State Science, Arizona State University, Tempe, Arizona 85287, United States.
Zhaoyang FanSchool of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, Arizona 85281, United States.ORCID 0000-0002-6185-2325
Bin WangSchool of Sustainable Chemical, Biological and Materials Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States.ORCID 0000-0001-8246-1422

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atomically dispersed metal atoms within graphitic carbon have shown great potential in enhancing the performance of lithium-sulfur batteries (LSBs), though the fundamental principles to guide their rational design remain to be fully established. Here, we report a combined computational and experimental study demonstrating that a group of metals (Ti, V, Mo, and Nb) incorporated into graphitic carbon have promising catalytic properties due to three factors: strong binding with lithium sulfides, reduced redox overpotentials, and low kinetic barriers for Li-S bond activation. In contrast, metals such as Fe and Mn show moderate catalytic behavior, while Ni representing a third group of elements has worse performance. To validate these computational predictions, we synthesized and studied three representative metal elements─Nb, Fe, and Ni─each exhibiting distinct capabilities in binding LiPSs/Li

Indexed as

bond activationDFTkineticslithium−sulfur batteriesniobiumsingle atom catalysis

Identifiers

PMID41086031
PMCPMC12574205

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.