Development of improved forward osmosis (FO) membrane in collaboration with Mitsui Chemicals, Inc. (MCI) and a comprehensive performance evaluation of MCI FO membranes

Project Member(s): Shon, H., Phuntsho, S.

Funding or Partner Organisation: Mitsui Chemicals, Inc (Mitsui Chemicals)
Mitsui Chemicals, Inc (Mitsui Chemicals)

Start year: 2018

Publications:

Nurhayati, M, Jeong, K, Kim, S, Park, J, Cho, KH, Shon, HK & Lee, S 2025, 'From comparison to integration: Enhancing forward osmosis performance prediction with mathematical and RBF neural network models', Desalination, vol. 597, pp. 118322-118322.
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Nurhayati, M, Jeong, K, Lee, H, Park, J, Hong, BU, Kang, HG, Shon, HK & Lee, S 2024, 'Predicting and optimizing forward osmosis membrane operation using machine learning', Desalination, vol. 592, pp. 118154-118154.
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Matta, SM, Selam, MA, Manzoor, H, Adham, S, Shon, HK, Castier, M & Abdel-Wahab, A 2022, 'Predicting the performance of spiral-wound membranes in pressure-retarded osmosis processes', Renewable Energy, vol. 189, pp. 66-77.
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FOR Codes: Water Treatment Processes, Physical and Chemical Conditions of Water for Urban and Industrial Use, Measurement and assessment of freshwater quality (incl. physical and chemical conditions of water) , Measurement and assessment of estuarine water quality

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.