Reply to: Random interstratification in hydrated graphene oxide membranes and implications for seawater desalination
- PMID: 35058652
- DOI: 10.1038/s41565-021-01067-z
Reply to: Random interstratification in hydrated graphene oxide membranes and implications for seawater desalination
Comment on
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Tunable sieving of ions using graphene oxide membranes.Nat Nanotechnol. 2017 Jul;12(6):546-550. doi: 10.1038/nnano.2017.21. Epub 2017 Apr 3. Nat Nanotechnol. 2017. PMID: 28369049
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Random interstratification in hydrated graphene oxide membranes and implications for seawater desalination.Nat Nanotechnol. 2022 Feb;17(2):131-133. doi: 10.1038/s41565-021-01066-0. Epub 2022 Jan 20. Nat Nanotechnol. 2022. PMID: 35058653 No abstract available.
References
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- Talyzin, A. V. Random interstratification in hydrated graphene oxide membranes and implications for seawater desalination Nat. Nanotechnol. https://doi.org/10.1038/s41565-021-01066-0 (2022).
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- Abraham, J. et al. Tunable sieving of ions using graphene oxide membranes. Nat. Nanotechnol. 12, 546–550 (2017). - DOI
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- Williams, C. D., Carbone, P. & Siperstein, F. R. In silico design and characterization of graphene oxide membranes with variable water content and flake oxygen content. ACS Nano 13, 2995–3004 (2019). - DOI
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- Williams, C. D., Carbone, P. & Siperstein, F. R. Computational characterisation of dried and hydrated graphene oxide membranes. Nanoscale 10, 1946–1956 (2018). - DOI
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- Williams, C. D., Siperstein, F. R. & Carbone, P. High-throughput molecular simulations reveal the origin of ion free energy barriers in graphene oxide membranes. Nanoscale 13, 13693–13702 (2021). - DOI
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