Evidence map›Paper›PMID 35524582›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

Discovery of High-Performing Metal-Organic Frameworks for On-Board Methane Storage and Delivery via LNG-ANG Coupling: High-Throughput Screening, Machine Learning, and Experimental Validation.

Seo-Yul Kim, Seungyun Han, Seulchan Lee, Jo Hong Kang, Sunghyun Yoon, Wanje Park, Min Woo Shin, Jinyoung Kim, Yongchul G Chung, Youn-Sang Bae

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Inverse Design of Metal-Organic Frameworks for CHAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  3. Integrating Molecular Simulations with Machine Learning to Discover Selective MOFs for CHThe journal of physical chemistry. C, Nanomaterials and interfaces · 2025
    Article
  4. Review
  5. Review
  6. 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

10 authors.

Seo-Yul KimDepartment of Chemical and Biomolecular Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea.
Seungyun HanSchool of Chemical Engineering, Pusan National University, Busan, 46241, South Korea.
Seulchan LeeSchool of Chemical Engineering, Pusan National University, Busan, 46241, South Korea.
Jo Hong KangDepartment of Chemical and Biomolecular Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea.
Sunghyun YoonSchool of Chemical Engineering, Pusan National University, Busan, 46241, South Korea.
Wanje ParkDepartment of Chemical and Biomolecular Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea.
Min Woo ShinDepartment of Chemical and Biomolecular Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea.
Jinyoung KimDepartment of Chemical and Biomolecular Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea.
Yongchul G ChungSchool of Chemical Engineering, Pusan National University, Busan, 46241, South Korea.
Youn-Sang BaeDepartment of Chemical and Biomolecular Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea.ORCID 0000-0002-3447-4058

Funding

National Research Foundation of Korea 2021M3I3A1084664National Research Foundation of Korea NRF-2019M3E6A1103980National Research Foundation of Korea NRF-2020K1A4A7A02095371National Research Foundation of Korea NRF-2020R1A5A1019131National Research Foundation of Korea NRF-2020R1C1C1010373National Research Foundation of Korea NRF-2022R1A2B5B02002577
6 · The paper itself

Abstract

Liquefied natural gas (LNG) gasification coupled with adsorbed natural gas (ANG) charging (LNG-ANG coupling) is an emerging strategy for efficient delivery of natural gas. However, the potential of LNG-ANG to attain the advanced research projects agency-energy (ARPA-E) target for onboard methane storage has not been fully investigated. In this work, large-scale computational screening is performed for 5446 metal-organic frameworks (MOFs), and over 193 MOFs whose methane working capacities exceed the target (315 cm

Indexed as

Metal-Organic FrameworksNatural GasHigh-Throughput Screening AssaysMachine LearningMethaneMetal-Organic FrameworksMethaneNatural Gasadsorbed natural gasgrand canonical Monte Carlohigh-throughput screeningLNG-ANG couplingmetal-organic frameworksmethane storagemolecular dynamics simulation

Identifiers

PMID35524582
PMCPMC9313482

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.