Multicomponent surface condensates can be trained to classify input compositions, with hidden species enabling nonlinear boundaries and reservoir-level tuning enabling task reprogramming.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.bio-ph 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.