Multicomponent surface condensates can be trained to classify input compositions, with hidden species enabling nonlinear boundaries and reservoir-level tuning enabling task reprogramming.
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Combinatorial decision-making driven by multicomponent surface condensates
Multicomponent surface condensates can be trained to classify input compositions, with hidden species enabling nonlinear boundaries and reservoir-level tuning enabling task reprogramming.