Work

Ensemble hybrid machine learning to simulate dye/divalent salt fractionation using a loose nanofiltration membrane

Year: 2023

Type: article

Abstract: The escalating quantity of wastewater from multiple sources has raised concerns about both water reuse and environmental preservation.

Source: Environmental Science Advances

DOI: 10.1039/d3va00124e

Authors: Nadeem Baig, S. I. Abba, Jamilu Usman, Mohammed Benaafi, Isam H. Aljundi

Institution: King Fahd University of Petroleum and Minerals

Language: English

Topic: Membrane Separation Technologies

Subfield: Water Science and Technology

Field: Environmental Science

Domain: Physical Sciences

SDGs: Clean water and sanitation, Responsible consumption and production

Open Access status: diamond

Funder: King Fahd University of Petroleum and Minerals

Award: G4397554585

OpenAlex ID: W4386774596

FWCI: 1.838

Cites: 66

Cited by: 24

Related to: 10