Machine Learning-Based CO2 Hydrogenation to High-Value Green Fuels: A Comprehensive Review for Computational Assessment
M Ahmed, R Latif, S Seher… - ASEAN …, 2024 - ejournal.bumipublikasinusantara.id
The biggest candidate for climate change is the emission of CO2 during the burning of fossil
fuels and researchers are trying to capture this CO2 efficiently and utilization effectively. This …
fuels and researchers are trying to capture this CO2 efficiently and utilization effectively. This …
Attention-Based Interpretable Multiscale Graph Neural Network for MOFs
L Li, H Yu, Z Wang - Journal of Chemical Theory and Computation, 2025 - ACS Publications
Metal–organic frameworks (MOFs) hold great potential in gas separation and storage. Graph
neural networks (GNNs) have proven effective in exploring structure–property relationships …
neural networks (GNNs) have proven effective in exploring structure–property relationships …