Research [ASAP] Dual Embedding: A Fine-Tuned Language Model Approach for Accurate Polymer Glass Transition Temperature Prediction LikeLiked Date: November 3, 2025 Less than 1 MinRead Views: 3 Journal of Chemical Information and Modeling DOI: 10.1021/acs.jcim.5c02469 Source: http://dx.doi.org/10.1021/acs.jcim.5c02469 Tags:Materials Industry FacebookTwitterLinkedinWhatsAppTelegramEmail ALT-Lab-Ad-1ALT-Lab-Ad-2ALT-Lab-Ad-3ALT-Lab-Ad-4ALT-Lab-Ad-5ALT-Lab-Ad-6ALT-Lab-Ad-7ALT-Lab-Ad-8ALT-Lab-Ad-9ALT-Lab-Ad-10ALT-Lab-Ad-11ALT-Lab-Ad-12ALT-Lab-Ad-13 Recent Articles FoxFarm Fertilizer Soil Trio Tiger Bloom Liquid Nutrient: Review & Guide Food & Agriculture December 25, 2025 Relationship between R&D investment, financial development, energy use, and carbon dioxide emissions in USA: New insights from ARDL methodology Research December 24, 2025 Nam House / 90odesign Built Environment December 24, 2025 Ranked: The World’s Most Used Ecommerce Apps Finance & investments December 24, 2025 Development and systematic evaluation of aqueous triazole chloride-based deep eutectic solvents for efficient CO2 capture Research December 24, 2025 Accelerated biodegradation of polyurethanes through embedded cutinases Research December 24, 2025 Nebraska rancher urges expanded LRP to manage cattle market volatility Food & Agriculture December 24, 2025 Ranked: The 5 Largest Megacities in 2025, Based on Built-Up Area Finance & investments December 24, 2025 Céu Bar / Küster Brizola Arquitetos Built Environment December 24, 2025 Reducing the healthcare carbon footprint through fully self-service artificial intelligence-powered screening: A comparative simulation study utilizing data from Shanghai City and Lixin Town, China Research December 24, 2025 Load more
