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Spectroscopy-guided thermomechanical trajectory learning for inverse design of bio-based polymer nanocomposites

https://doi.org/10.2139/ssrn.7305980
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Synthesis and characterization of bio-based poly(butylene furandicarboxylate)-b-poly(tetramethylene glycol) copolymers
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Biobased poly(butylene 2,5-furandicarboxylate) and poly(butylene adipate-co-butylene 2,5-furandicarboxylate)s: From synthesis using highly purified 2,5-furandicarboxylic acid to thermo-mechanical properties
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Poly(alkylene 2,5-furandicarboxylate)s (PEF and PBF) by ring opening polymerization
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Machine learning prediction of heat capacity of polymers as a function of temperature
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Developments in mid-infrared FT-IR spectroscopy of selected carbohydrates
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Multimodal Machine Learning with Large Language Embedding Model for Polymer Property Prediction
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Designed to Degrade: Tailoring Polyesters for Circularity
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Green Preparation of Cellulose Nanocrystal and Its Application
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Strong Nanocomposite Reinforcement Effects in Polyurethane Elastomer with Low Volume Fraction of Cellulose Nanocrystals
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Bio-based polymers with performance-advantaged properties
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Bioplastics for a circular economy
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Basic concepts and tools of artificial intelligence in polymer science
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Strictly Proper Scoring Rules, Prediction, and Estimation
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Linearization and Scatter-Correction for Near-Infrared Reflectance Spectra of Meat
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Native Cellulose: Structure, Characterization and Thermal Properties
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Durability of Biodegradable Polymer Nanocomposites
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