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Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer+10 more
wiley +1 more source
Sub‐monolayer titania grafted onto mesoporous silica enables solvent‐free photocatalytic upgrading of furfural and cyclopentanone into jet fuel precursors. Advanced spectroscopic methods reveal tunable surface speciation, acidity, and bandgaps, enhancing catalytic efficiency.
Mark A. Isaacs+12 more
wiley +1 more source