The predictive machine learning model of a hydrated inverse vulcanized copolymer for effective mercury sequestration from wastewater

• Main Authors: Ghumman, A.S.M., Shamsuddin, R., Abbasi, A., Ahmad, M., Yoshida, Y., Sami, A., Almohamadi, H.
• Format: Article
• Published: 2024
• Online Access: http://scholars.utp.edu.my/id/eprint/38092/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176123097&doi=10.1016%2fj.scitotenv.2023.168034&partnerID=40&md5=1e0d98d6982e425a9c22b26513ba67cf

Inverse vulcanized polysulfides (IVP) are promising sulfur-enriched copolymers with unconventional properties irresistible for diverse applications like Hg2+ remediation. Nevertheless, due to their inherent hydrophobic nature, these copolymers still offer low Hg2+ uptake capacity. Herein, we reporte...