EM-T2Journal of Hazardous Materials2026518: 143910-143910Machine learning-driven high-throughput prediction of Hg0 capture in MOFs and decipherment of structure-property relationshipsZhen Zhang, Li Jia, Peng Cheng, Ya–wen Wu 等 8 人被引 0基金材料化学金融风险与机器学习
EM-T2Journal of Hazardous Materials2026143880-143880vToxiNet: An Interpretable Deep Learning Framework for Hepatotoxicity Prediction and Mechanism ExplorationXuelian Jia, Tong Wang, Daniel P. Russo, Lauren M. Aleksunes 等 6 人被引 0基金开放获取计算理论与数学金融风险与机器学习
EM-T2Journal of Hazardous Materials2026143881-143881An explainable machine learning framework for predicting colloid-mediated release of potentially toxic elements from Pb/Zn smelter contaminated soilsXU Da-mao, Haibin Wang, Rui-Yang Yong, Xiao-Lan Yi 等 9 人被引 0基金污染金融风险与机器学习
EM-T2Journal of Hazardous Materials2026143864Multimodal Deep Learning for Species-Aware Prediction of Chemical Toxicity to Aquatic PlantsZhixuan Yin, Jieming Li被引 0基金健康、毒理与致突变金融风险与机器学习
EM-T2Journal of Hazardous Materials2026517: 143727Pathways, evidence types, and interpretive boundaries in machine learning-assisted source analysis of soil metal(loid)sQuan Zou, Yingming Wang, Zhenyang Han, Jie Shi 等 7 人被引 0基金污染金融风险与机器学习
EM-T2Journal of Hazardous Materials2026517: 143678Deciphering foliar uptake mechanisms of organophosphate esters in plant leaves: Molecular structure–cuticular wax interactions revealed by experimental evidence and machine learningYu Wang, Qiuyue Zhang, Yiting Ge, Siyuan Li 等 7 人被引 0基金健康、毒理与致突变金融风险与机器学习
EM-T2Journal of Hazardous Materials2026517: 143618Machine learning-guided design of crosslinked cellulose acetate ultrafiltration membranes for sustainable water purificationQiuyu Yu, Dan Cao, Peng Zhao, Xintong Li 等 7 人被引 0基金水科学与技术金融风险与机器学习
EM-T2Journal of Hazardous Materials2026517: 143594Group-aware and external validation distinguish interpolation from transfer in machine learning for aqueous pollutant removalSiyuan Jiang, Ying Yang, Yaoru Mao, He Yan 等 6 人被引 0基金水科学与技术金融风险与机器学习
EM-T2Journal of Hazardous Materials2026517: 143568Explainable machine learning-assisted Raman spectroscopy-based fast Versicolorin A detection in maize for early aflatoxin warning and safety sortingShaoyan Zheng, Bijun Liu, Yuhan Chen, Lirong Li 等 6 人被引 0基金开放获取分析化学金融风险与机器学习
EM-T2Journal of Hazardous Materials2026517: 143536综述Machine learning and remote sensing for soil heavy metal(loid) risk assessment: A systematic review of multi-source data fusion, benchmarking, and explainable AIMd Tashfique Enam Tutul, Shuvo Dip Datta被引 0污染金融风险与机器学习
EM-T2Journal of Hazardous Materials2026517: 143508Using machine learning and analytical modelling to predict pharmaceutical breakthrough in biochar columnsBent Speksnijder, Michael C. Welle, Noémie Jaquier, Oksana Golovko被引 0基金开放获取水科学与技术金融风险与机器学习
EM-T2Journal of Hazardous Materials2026517: 143445Leveraging multi-source observations for vertical PM2.5 estimation: A deep learning fusion modelZhenyi Chen, Feilong Li, Qiankai Jin, Zhiliang Yao 等 13 人被引 0基金环境工程金融风险与机器学习
EM-T2Journal of Hazardous Materials2026517: 143506Interpretable machine learning predictions reveal climate-driven escalation of arsenic in Tibetan alpine headwater riversLei Chai, Juyi Sun, Huimin Yu, Xiaoping Wang 等 8 人被引 0基金环境化学金融风险与机器学习
EM-T2Journal of Hazardous Materials2026517: 143787Machine learning-assisted ratiometric Zr-MOF-based fluorescent probe for intelligent detection of uranyl ionsQing Wang, Haixia Quan, Peipei Liao, Meifeng Li 等 5 人被引 0基金无机化学金融风险与机器学习
EM-T2Journal of Hazardous Materials2026517: 143780Rapid Assessment of the Intrinsic Hazard Potential of Different Types of Plastic Additives Using Machine Learning (RF-MLP)Qiang Liu, Ye Zhang, Zhen Hua Liu, Hong hui Teng被引 0基金开放获取材料化学金融风险与机器学习
EM-T2Journal of Hazardous Materials2026517: 143771The construction of UiO-66(Ce)/Cu oxidase for multivariate identification of acetylcholinesterase, organophosphorus pesticides and tannic acid supported by machine learningYuhan Zhao, Xinyu Han, Shuang Li, Miaomiao Tian 等 6 人被引 0基金开放获取材料化学金融风险与机器学习
EM-T2Journal of Hazardous Materials2026516: 143446Characteristics and gas-particle partitioning of amine-containing particles from firework emissions: New insights from machine learning and single-particle mass spectrometryChen Chen, Zhanfang Hou, Qizong Wang, Fengxian Liu 等 9 人被引 0基金大气科学金融风险与机器学习
EM-T2Journal of Hazardous Materials2026516: 143396Rapid SERS-machine learning–enabled virulence profiling of Acinetobacter baumannii for environmental surveillancePhularida Amulraj, Karpagavalli Palpandi, Sri Surya Charan Kondeti, Jayasree Kumar 等 8 人被引 0基金生物物理金融风险与机器学习
EM-T2Journal of Hazardous Materials2026516: 143326Mechanism-aware temperature-resolved machine learning and experimental validation for optimization of Cu-based bimetallic catalysts in NO reduction by COWenhao Duan, Huanran Wang, Hao Chen, Yan Zhao 等 6 人被引 0基金材料化学金融风险与机器学习
EM-T2Journal of Hazardous Materials2026516: 143277Identifying optimal green plot ratio thresholds for mitigating PM2.5 in street canyons: Integrating LiDAR, CFD, and explainable machine learningBin Guo, Hailong Chen, Zheng Wang, Miaoyi Chen 等 11 人被引 0基金开放获取环境工程金融风险与机器学习
