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Artificial intelligence (AI) is reshaping performance-driven polymer design by connecting molecular structures, physical mechanisms, processing conditions, and application-level objectives within an integrated design framework. Unlike small molecules, polymer properties are...
The effects of subphase pH and temperature on the interfacial aggregation behavior of two amphiphilic hyperbranched poly(methacrylic acid-co-lauryl methacrylate) (H-P(MAA-co-LMA)) copolymers at the air/water interface were investigated by the Langmuir film balance technique. The structures of their Langmuir-Blodgett (L...
Polymeric photonic microspheres with visible structural colors offer safe and vibrant alternatives to traditional toxic pigments. These materials are commonly fabricated through confined self-assembly of block copolymers (BCPs) in evaporative emulsions, which can proceed by either microphase separation or organized spo...
A data-driven framework combining explainable machine learning (ML) with large-scale virtual library generation with large-scale virtual library generation is presented, establishing a practical route from experimental data to actionable catalyst designs.
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