The DOI matches its Crossref record; 196 of the 196 references it cites were found in a registry or an index.
Advances in hydrogen storage materials: harnessing innovative technology, from machine learning to computational chemistry, for energy storage solutions
Open accessAbstract
The demand for clean and sustainable energy solutions is escalating as the global population grows and economies develop. Fossil fuels, which currently dominate the energy sector, contribute to greenhouse gas emissions and environmental degradation. In response to these challenges, hydrogen storage technologies have emerged as a promising avenue for achieving energy sustainability. This review provides an overview of recent advancements in hydrogen storage materials and technologies, emphasizing the importance of efficient storage for maximizing hydrogen's potential. The review highlights physical storage methods such as compressed hydrogen (reaching pressures of up to 70 MPa) and material-based approaches utilizing metal hydrides and carbon-containing substances. It also explores design considerations, computational chemistry, high-throughput screening, and machine-learning techniques employed in developing efficient hydrogen storage materials. This comprehensive analysis showcases the potential of hydrogen storage in addressing energy demands, reducing greenhouse gas emissions, and driving clean energy innovation.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
Hassan, Q., Sameen, A. Z., Salman, H. M., Jaszczur, M., & Al-Jiboory, A. K. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.108404 · Cited by 480
RetractedHydrogen-storage materials for mobile applications
Schlapbach, L., & Züttel, A. (2001) · Nature · doi:10.1038/35104634 · Cited by 8,865
Porous, Crystalline, Covalent Organic Frameworks
Côté, A. P., Benin, A. I., Ockwig, N. W., O'Keeffe, M., Matzger, A. J., & Yaghi, O. M. (2005) · Science · doi:10.1126/science.1120411 · Cited by 8,357
Storage of hydrogen in single-walled carbon nanotubes
Dillon, A. C., Jones, K. M., Bekkedahl, T. A., Kiang, C. H., Bethune, D. S., & Heben, M. J. (1997) · Nature · doi:10.1038/386377a0 · Cited by 3,802
Metal hydride materials for solid hydrogen storage: A review
SAKINTUNA, B., LAMARIDARKRIM, F., & HIRSCHER, M. (2007) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2006.11.022 · Cited by 3,715
Hydrogen energy, economy and storage: Review and recommendation
Abe, J. O., Popoola, A. P. I., Ajenifuja, E., & Popoola, O. M. (2019) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2019.04.068 · Cited by 3,315
Furukawa, H., & Yaghi, O. M. (2009) · Journal of the American Chemical Society · doi:10.1021/ja9015765 · Cited by 2,608
Designed Synthesis of 3D Covalent Organic Frameworks
El-Kaderi, H. M., Hunt, J. R., Mendoza-Cortés, J. L., Côté, A. P., Taylor, R. E., O'Keeffe, M., & Yaghi, O. M. (2007) · Science · doi:10.1126/science.1139915 · Cited by 2,575
Complex Hydrides for Hydrogen Storage
Orimo, S.-I., Nakamori, Y., Eliseo, J. R., Züttel, A., & Jensen, C. M. (2007) · Chemical Reviews · doi:10.1021/cr0501846 · Cited by 2,318
Chemical and Physical Solutions for Hydrogen Storage
Eberle, U., Felderhoff, M., & Schüth, F. (2009) · Angewandte Chemie International Edition · doi:10.1002/anie.200806293 · Cited by 1,674
Cited by
How Can Business Analytics Enhance Decision-Making in Oil and Gas Surface Facilities?
Prasetya, A., Wasesa, M., & Sunitiyoso, Y. (2025) · IEEE Access · doi:10.1109/access.2025.3582939 · Cited by 3
Metadata
- Authors
- Osman, A. I., Nasr, M., Eltaweil, A. S., Hosny, M., Farghali, M., Al-Fatesh, A. S., Rooney, D. W., & Abd El-Monaem, E. M.
- Venue
- International Journal of Hydrogen Energy
- Publisher
- Elsevier BV
- Published
- 2024-05
- Volume
- 67
- Pages
- 1270-1294
- ISSN
- 0360-3199 (ISSN-L)
- OpenAlex
- W4393236929
- Cited by
- 270
- References
- 196
- FWCI
- 25.63
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Advances in hydrogen storage materials: harnessing innovative technology, from machine learning to computational chemistry, for energy storage solutions. https://app.cochat.ai/papers/10.1016/j.ijhydene.2024.03.223
- The paper
- Osman, A. I., Nasr, M., Eltaweil, A. S., Hosny, M., Farghali, M., Al-Fatesh, A. S., Rooney, D. W., & Abd El-Monaem, E. M. (2024). Advances in hydrogen storage materials: harnessing innovative technology, from machine learning to computational chemistry, for energy storage solutions. International Journal of Hydrogen Energy. https://doi.org/10.1016/j.ijhydene.2024.03.223
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
