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Ruediger Zillmer

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Sep 2026

Graph-to-Graph Inverse Design of Surfactants under Multiobjective and Structural Constraints

Rapid, sustainable redesign of large functional molecules requires efficient exploration of vast chemical spaces subject to multiple properties and constraints. Graph neural networks have shown strong performance in molecular property prediction, yet their use for inverse design remains relatively underexplored. Mean...

Alexander W. Rogers, Ruediger Zillmer, A. Lane et al. · 0 citations

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