Work

Machine learning-based optimization and interpretation of the adsorption capacities of metal-organic frameworks for endocrine-disrupting compounds

Year: 2025

Type: article

Source: Journal of Water Process Engineering

DOI: 10.1016/j.jwpe.2025.109105

Authors: Hyo Gyeom Kim, Byung-Moon Jun, Heewon Jeong, Yeomin Yoon, Kyung Hwa Cho

Institutions: Korea Environment Institute, Kyung Hee University, University of Waterloo, Korea University, Ewha Womans University

Language: English

Topic: Adsorption and biosorption for pollutant removal

Subfield: Water Science and Technology

Field: Environmental Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: closed

Funders: National Research Foundation of Korea, Ministry of Science and ICT, South Korea

Awards: G6368692442, G8099358887

OpenAlex ID: W4416528705

FWCI: 1.654

Cites: 66

Cited by: 7

Related to: 10