Work

Machine learning-driven design of membranes for saline and produced water treatment across scales

Year: 2025

Type: article

Source: Environmental Science Water Research & Technology

DOI: 10.1039/d5ew00417a

Authors: Uzair Ahmad, Ahmed Abdala, Kim Choon Ng, Faheem Hassan Akhtar

Institutions: Lahore University of Management Sciences, Hamad bin Khalifa University, King Abdullah University of Science and Technology

Language: English

Topic: Membrane Separation Technologies

Subfield: Water Science and Technology

Field: Environmental Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: closed

Funder: Lahore University of Management Sciences

Award: G8184592300

OpenAlex ID: W4413174366

FWCI: 3.09

Cites: 101

Cited by: 12

Related to: 10