MCLFormer: a text-driven deep learning framework for predicting CO2 adsorption in metal-organic frameworks

Computational Materials Science 2026 Open access

Read full text

Authors: Kang Zhao, Qiao Liu, Minghao Liu, Xingyang Li, Chao Cheng

DOI: 10.1016/j.commatsci.2026.114864

Cited by: 0

References: 51

Fields of Study & Subjects

Metal-Organic Frameworks: Synthesis and Applications Carbon dioxide utilization in catalysis Carbon Dioxide Capture Technologies

References 51