38 citations · 58 across the 2 of their papers we have counts for
2 papers
cs.LG2025★ 38 cited
High-Throughput Computational Screening and Interpretable Machine Learning of Metal-organic Frameworks for Iodine Capture
Haoyi Tan, Yukun Teng, Guangcun Shan
The removal of leaked radioactive iodine isotopes in humid environments holds significant importance in nuclear waste management and nuclear accident mitigation. In this study, hig…
cond-mat.mtrl-sci2023★ 20 cited
Combined Experimental and Theoretical Studies on Iodine Capture of Zr-based Metal-Organic Frameworks: Effect of N-functionalization and Adsorption Mechanism
Jie Liang, Haoyi Tan, Jiaomei Liu +5
The potential leakage of nuclear waste, especially radioiodine, is a major safety concerning issue around the world. To remove radioiodine from nuclear waste efficiently, there is…