Research [ASAP] MOF-ChemUnity: Literature-Informed Large Language Models for Metal–Organic Framework Research LikeLiked Date: November 10, 2025 Less than 1 MinRead Views: 4 Journal of the American Chemical Society DOI: 10.1021/jacs.5c11789 Source: http://dx.doi.org/10.1021/jacs.5c11789 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 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 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 Untreated molasses efficiently Enhances 2,3-Butanediol synthesis using engineered Aureobasidium melanogenum P8AC-4 Research December 24, 2025 The Past, Present, and Future of Hemp in Construction Built Environment December 24, 2025 Esca Playa / Badie Architects Built Environment December 24, 2025 Optimising waste management technologies through statistical entropy analysis: A quantitative approach to enhanced resource recovery Waste Management December 24, 2025 Mechanistic study of novel chemical looping phase separation recovering lithium-ion battery cathode materials with biogas residues Research December 24, 2025 Synergistic acidolysis–reduction–precipitation strategy driven by natural solvents for direct recovery of transition metals from spent batteries Research December 24, 2025 Guest Idea: Sustainable Construction and the Future of Infrastructure Environmental News December 23, 2025 Load more
