NARA Discovery
Article Details
← Back to Search Results
Journal Article

Predicting arsenic bioaccessibility: A global data-driven machine learning approach and its implication for reducing carbon emissions

Haonan Zhang; Dan Han; Maosheng Zhong; Tianxiang Xia; Suo Yang; Shijie Wang; Ping Zhang; Lin Jiang
Journal of Hazardous Materials · Vol. 496 · pp. 139358 · 2025

Abstract

Abstract is unavailable.

Bibliographic Information

JournalJournal of Hazardous Materials
PublisherElsevier
Publication Date2025-09-01
Publication Year2025
Volume496
Pages139358
Document TypeJournal Article
eISSN0304-3894
DOI10.1016/j.jhazmat.2025.139358
SubjectEnvironmental Science

Access Information

NARA Access Coverage1975-01-01~Current
Journal Homepagehttps://www.sciencedirect.com/science/journal/03043894
Publisher PageOpen Publisher Page
Full-text access depends on NARA's subscribed coverage and institutional access.