[Elsevier] MLC-DTA: Drug-target affinity prediction based on multi-level contrastive learning and equivariant graph neural networks |
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The prediction of hydrogen storage capacity and solar water splitting applications of Rb2AlXH6 (X= In, Tl) perovskite halides: A DFT study
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Computational insights of double perovskite X2CaCdH6 (X = Rb and Cs) hydride materials for hydrogen storage applications: A DFT analysis
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Exploring structural stability, optoelectronic, photocatalytic hydrogen production and hydrogen storage properties of A3Be2H9 (A= Li and Na) hydrides
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A causal and counterfactual deep learning framework for robust intrusion detection in IoT networks
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Experimental Uncertainty in Training Data for Protein-Ligand Binding Affinity Prediction Models
