Evidence map›Paper›PMID 38497595›Full record

ArticleEnvironmental science & technology2024

Active Learning-Based Guided Synthesis of Engineered Biochar for CO

Xiangzhou Yuan, Manu Suvarna, Juin Yau Lim, Javier Pérez-Ramírez, Xiaonan Wang, Yong Sik Ok

Abstract read
In one paragraph

Article in Environmental science & technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Machine learning to predict plasma-based COGreen chemistry : an international journal and green chemistry resource : GC · 2026
    Article
  4. 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

6 authors.

Xiangzhou YuanMinistry of Education of Key Laboratory of Energy Thermal Conversion and Control, School of Energy and Environment, Southeast University, Nanjing 210096, China.ORCID 0000-0002-6480-3983
Manu SuvarnaInstitute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, Vladimir-Prelog-Weg 1, 8093 Zurich, Switzerland.
Juin Yau LimKorea Biochar Research Center, APRU Sustainable Waste Management Program & Division of Environmental Science and Ecological Engineering, Korea University, Seoul 02841, Republic of Korea.
Javier Pérez-RamírezInstitute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, Vladimir-Prelog-Weg 1, 8093 Zurich, Switzerland.ORCID 0000-0002-5805-7355
Xiaonan WangDepartment of Chemical Engineering, Tsinghua University, Beijing 100084, China.
Yong Sik OkKorea Biochar Research Center, APRU Sustainable Waste Management Program & Division of Environmental Science and Ecological Engineering, Korea University, Seoul 02841, Republic of Korea.ORCID 0000-0003-3401-0912

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomass waste-derived engineered biochar for CO

Indexed as

Carbon DioxideProblem-Based LearningAdsorptionCharcoalbiocharCarbon DioxideCharcoalcarbon neutralityenvironmental sustainabilityinverse designmachine learningparticle swarm optimizationUN SDG 13

Identifiers

PMID38497595
PMCPMC11025117

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.