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Automated and High-Throughput Phase Separation Control for Supramolecular Polymer Blends Enabled by Machine Learning
Supramolecular polymer blends (SPBs) offer tunable morphologies that dictate their macroscopic properties, yet their rational design is limited by the absence of predictive structure-morphology models. Here, we introduce a data-driven high-throughput workflow that integrates modular polymer synthesi
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