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Next-Generation Digital Twins for Drug Discovery
With this Collection, the editors invite contributions that advance the foundations and applications of high-fidelity digital twins in drug discovery.
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AIME2: toward a unified algebraic theory of explainability via approximate inverse operators
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A machine learning benchmarking framework for lipid nanoparticle transfection efficiency prediction
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phase2: full-state vector simulation of quantum time evolution at scale
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Encoding multiphase dynamics to predict spatiotemporal evolution via latent-space operators