An efficient data-driven desalination approach for the element-scale forward osmosis (FO)-reverse osmosis (RO) hybrid systems

Sung-Ju Im, Nguyen Duc Viet, Byung-Tae Lee, Am Jang

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DOI: 10.1016/j.envres.2023.116786
Published: 2023-11
Container: Environmental Research
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.envres.2023.116786,
  title = {An efficient data-driven desalination approach for the element-scale forward osmosis (FO)-reverse osmosis (RO) hybrid systems},
  author = {Sung-Ju Im and Nguyen Duc Viet and Byung-Tae Lee and Am Jang},
  year = {2023},
  journal = {Environmental Research},
  doi = {10.1016/j.envres.2023.116786},
  url = {https://doi.org/10.1016/j.envres.2023.116786}
}

RIS

TY  - JOUR
TI  - An efficient data-driven desalination approach for the element-scale forward osmosis (FO)-reverse osmosis (RO) hybrid systems
AU  - Sung-Ju Im
AU  - Nguyen Duc Viet
AU  - Byung-Tae Lee
AU  - Am Jang
PY  - 2023
JO  - Environmental Research
DO  - 10.1016/j.envres.2023.116786
UR  - https://doi.org/10.1016/j.envres.2023.116786
ER  -

APA

Im, S., Viet, N. D., Lee, B., & Jang, A. (2023). An efficient data-driven desalination approach for the element-scale forward osmosis (FO)-reverse osmosis (RO) hybrid systems. Environmental Research. https://doi.org/10.1016/j.envres.2023.116786

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crossref · retrieved 2026-09-26T18:43:23.648Z