Active Brownian particles drive polymer condensates into percolated networks that persist via topological winding even after the particles are removed, creating activity-induced memory in a fluid.
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cond-mat.soft 2years
2026 2representative citing papers
Mapping inverse polymer density to ħ enables a systematic loop expansion that yields RPA+ corrections improving dilute-phase coexistence predictions over standard RPA in polymer solutions.
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Active Particles Imprint Persistent Percolating Networks in Polymer Condensates
Active Brownian particles drive polymer condensates into percolated networks that persist via topological winding even after the particles are removed, creating activity-induced memory in a fluid.
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Loop expansion in polymer field theory: application to phase separation
Mapping inverse polymer density to ħ enables a systematic loop expansion that yields RPA+ corrections improving dilute-phase coexistence predictions over standard RPA in polymer solutions.