The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
One-pot tandem catalysis over Pd@MIL-101: boosting the efficiency of nitro compound hydrogenation by coupling with ammonia borane dehydrogenation
Abstract
The hydrogenation efficiency of nitro compounds is greatly boosted by coupling with ammonia borane dehydrogenation over rationally synthesized Pd@MIL-101 with Pd NPs in ∼3 nm.
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Citations
Cites
B–N compounds for chemical hydrogenstorage
Hamilton, C. W., Baker, R. T., Staubitz, A., & Manners, I. (2009) · Chem. Soc. Rev. · doi:10.1039/b800312m · Cited by 1,087
Cited by
Metal–organic frameworks meet metal nanoparticles: synergistic effect for enhanced catalysis
Yang, Q., Xu, Q., & Jiang, H.-L. (2017) · Chemical Society Reviews · doi:10.1039/c6cs00724d · Cited by 1,892
Self-citationZhao, S.-N., Song, X.-Z., Song, S.-Y., & Zhang, H.-J. (2017) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2017.02.010 · Cited by 336
Programmable Logic in Metal–Organic Frameworks for Catalysis
Shen, Y., Pan, T., Wang, L., Ren, Z., Zhang, W., & Huo, F. (2021) · Advanced Materials · doi:10.1002/adma.202007442 · Cited by 316
Metadata
- Authors
- Yang, Q., Chen, Y.-Z., Wang, Z. U., Xu, Q., & Jiang, H.-L.
- Venue
- Chemical Communications
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2015
- Volume
- 51
- Issue
- 52
- Pages
- 10419-10422
- ISSN
- 1359-7345 (ISSN-L)
- 1364-548X
- OpenAlex
- W2126474893
- Cited by
- 171
- References
- 1
- FWCI
- 10.79
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: One-pot tandem catalysis over Pd@MIL-101: boosting the efficiency of nitro compound hydrogenation by coupling with ammonia borane dehydrogenation. https://app.cochat.ai/papers/10.1039/c5cc03102h
- The paper
- Yang, Q., Chen, Y.-Z., Wang, Z. U., Xu, Q., & Jiang, H.-L. (2015). One-pot tandem catalysis over Pd@MIL-101: boosting the efficiency of nitro compound hydrogenation by coupling with ammonia borane dehydrogenation. Chemical Communications. https://doi.org/10.1039/c5cc03102h
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
