Prediction and Interpretability of Melting Points of Ionic Liquids Using Graph Neural Networks
H Feng, L Qin, B Zhang, J Zhou - ACS omega, 2024 - ACS Publications
Ionic liquids (ILs) have wide and promising applications in fields such as chemical
engineering, energy, and the environment. However, the melting points (MPs) of ILs are one …
engineering, energy, and the environment. However, the melting points (MPs) of ILs are one …
Applying machine learning to identify ionizable lipids for nanoparticle-mediated delivery of mRNA
MM Lewis, TJ Beck, D Ghosh - bioRxiv, 2023 - biorxiv.org
mRNA lipid nanoparticles (LNPs) have a tremendous potential to treat, cure, or prevent
many diseases. To identify promising candidates for each application, most studies screen …
many diseases. To identify promising candidates for each application, most studies screen …
Combination of Integrated Machine Learning Model Frameworks and Infrared Spectroscopy Towards Fast and Interpretable Characterization of Biomass Pyrolysis Oil
C Chen, R Liang, J Zhu, J Tao, X Lu, B Yan… - Available at SSRN … - papers.ssrn.com
Biomass pyrolysis oil (bio-oil) is a promising bio-fuel with complex and unstable contents,
making its fast characterization an essential demand in industrial production. This study …
making its fast characterization an essential demand in industrial production. This study …