Evidence map›Paper›PMID 33286834›Full record

ArticleEntropy (Basel, Switzerland)2020

Minimum Entropy Generation Rate and Maximum Yield Optimization of Sulfuric Acid Decomposition Process Using NSGA-II.

Ming Sun, Shaojun Xia, Lingen Chen, Chao Wang, Chenqi Tang

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Future Perspectives of Finite-Time Thermodynamics.Entropy (Basel, Switzerland) · 2022
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

5 authors.

Ming SunCollege of Power Engineering, Naval University of Engineering, Wuhan 430033, China.ORCID 0000-0001-7533-3596
Shaojun XiaCollege of Power Engineering, Naval University of Engineering, Wuhan 430033, China.
Lingen ChenInstitute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan 430205, China.ORCID 0000-0002-9012-6736
Chao WangCollege of Power Engineering, Naval University of Engineering, Wuhan 430033, China.
Chenqi TangCollege of Power Engineering, Naval University of Engineering, Wuhan 430033, China.

Funding

National Natural Science Foundation of China 51976235
6 · The paper itself

Abstract

Based on the theory of finite-time thermodynamics (FTT), the effects of three design parameters, that is, inlet temperature, inlet pressure, and inlet total mole flow rate, of a tubular plug-flow sulfuric acid decomposition reactor on the total entropy generation rate (EGR) and SO

Indexed as

entropy generation ratefinite-time thermodynamicsmulti-objective optimizationSO2 yieldsulfuric acid decompositiontubular plug-flow reactor

Identifiers

PMID33286834
PMCPMC7597133

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.