ArticlePatterns (New York, N.Y.)2021
Predicting hydrogen storage in MOFs via machine learning.
Article in Patterns (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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.
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.
Who cites it
24 citing papers in PubMed.
- Fundamentals to Prospects: Synthetic Tuning of Covalent Organic Frameworks for Solid-State Hydrogen Storage.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Capture, storage, and re-use of liquid hydrogen boil-off for aviation and aerospace applications.Nature communications · 2026Article
- Accelerating discovery of MOFs for hydrogen storage via machine learning in energy related applications.Scientific reports · 2026Article
- A multi-objective optimization-driven screening approach for maximizing hydrogen storage capacities in MOFs.Scientific reports · 2026Article
- Computational Simulations of Metal-Organic Frameworks to Enhance Adsorption Applications.Advanced materials (Deerfield Beach, Fla.) · 2025Review
- Toward accurate prediction of NScientific reports · 2025Article
- Artificial Intelligence Paradigms for Next-Generation Metal-Organic Framework Research.Journal of the American Chemical Society · 2025Review
- Durable Tape-Cast Trilayer LaThe journal of physical chemistry. C, Nanomaterials and interfaces · 2025Article
- Technoeconomic Insights into Metal Hydrides for Stationary Hydrogen Storage.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- White-box methodologies for achieving robust correlations in hydrogen storage with metal-organic frameworks.Scientific reports · 2025Article
- Review
- MOFSynth: A Computational Tool toward Synthetic Likelihood Predictions of MOFs.Journal of chemical information and modeling · 2024Article
- Gas adsorption meets geometric deep learning: points, set and match.Scientific reports · 2024Article
- Investigation of wettability and IFT alteration during hydrogen storage using machine learning.Heliyon · 2024Article
- Going beyond the Ordered Bulk: A Perspective on the Use of the Cambridge Structural Database for Predictive Materials Design.Crystal growth & design · 2024Review
- Long Duration Energy Storage Using Hydrogen in Metal-Organic Frameworks: Opportunities and Challenges.ACS energy letters · 2024Review
- Gas adsorption meets deep learning: voxelizing the potential energy surface of metal-organic frameworks.Scientific reports · 2024Article
- Connectionist technique estimates of hydrogen storage capacity on metal hydrides using hybrid GAPSO-LSSVM approach.Scientific reports · 2024Article
- Nanomaterials: paving the way for the hydrogen energy frontier.Discover nano · 2024Review
- Machine Learning in the Development of Adsorbents for Clean Energy Application and Greenhouse Gas Capture.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The H
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What OpenQuestion holds
Registered trials
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.