Evidence map›Paper›PMID 28725531›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2017

Computational Insights into Materials and Interfaces for Capacitive Energy Storage.

Cheng Zhan, Cheng Lian, Yu Zhang, Matthew W Thompson, Yu Xie, Jianzhong Wu, Paul R C Kent, Peter T Cummings, De-En Jiang, David J Wesolowski

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Quantum Capacitance of Two-Dimensional-Material-Based Supercapacitor Electrodes.Energy & fuels : an American Chemical Society journal · 2023
    Review
  7. Article
  8. Ultra-High Cycling Stability of 3D Flower-like Ce(COOH)Molecules (Basel, Switzerland) · 2023
    Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Computational Insights into Materials and Interfaces for Capacitive Energy Storage.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2017
    Review
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

10 authors.

Cheng ZhanDepartment of Chemistry University of California Riverside CA 92521 United States.
Cheng LianDepartment of Chemical and Environmental Engineering University of California Riverside California 92521 United States.
Yu ZhangDepartment of Chemical and Biomolecular Engineering Vanderbilt University Nashville Tennessee 37235 United States.
Matthew W ThompsonDepartment of Chemical and Biomolecular Engineering Vanderbilt University Nashville Tennessee 37235 United States.
Yu XieCenter for Nanophase Materials Sciences Oak Ridge National Laboratory Oak Ridge Tennessee 37831 United States.
Jianzhong WuDepartment of Chemical and Environmental Engineering University of California Riverside California 92521 United States.
Paul R C KentCenter for Nanophase Materials Sciences Oak Ridge National Laboratory Oak Ridge Tennessee 37831 United States.
Peter T CummingsDepartment of Chemical and Biomolecular Engineering Vanderbilt University Nashville Tennessee 37235 United States.
De-En JiangDepartment of Chemistry University of California Riverside CA 92521 United States.
David J WesolowskiChemical Sciences Division Oak Ridge National Laboratory Oak Ridge Tennessee 37831 United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Supercapacitors such as electric double-layer capacitors (EDLCs) and pseudocapacitors are becoming increasingly important in the field of electrical energy storage. Theoretical study of energy storage in EDLCs focuses on solving for the electric double-layer structure in different electrode geometries and electrolyte components, which can be achieved by molecular simulations such as classical molecular dynamics (MD), classical density functional theory (classical DFT), and Monte-Carlo (MC) methods. In recent years, combining first-principles and classical simulations to investigate the carbon-based EDLCs has shed light on the importance of quantum capacitance in graphene-like 2D systems. More recently, the development of joint density functional theory (JDFT) enables self-consistent electronic-structure calculation for an electrode being solvated by an electrolyte. In contrast with the large amount of theoretical and computational effort on EDLCs, theoretical understanding of pseudocapacitance is very limited. In this review, we first introduce popular modeling methods and then focus on several important aspects of EDLCs including nanoconfinement, quantum capacitance, dielectric screening, and novel 2D electrode design; we also briefly touch upon pseudocapactive mechanism in RuO

Indexed as

electric double layerselectrolytesjoint density functional theorymolecular simulationsporous materialssupercapacitors

Identifiers

PMID28725531
PMCPMC5515120

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.