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Text-Guided Multi-Property Molecular Optimization with a Diffusion Language Model
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DOI：10.1016/j.inffus.2025.103907.png)
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Abstract
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• Innovative text-guided diffusion for multi-property molecular optimization. • Seamless fusion of textual semantics and molecular representations. • Superior Performance on both structural criteria and property optimization demands. • Successful case study on XAC’s selectivity optimization.
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