Research [ASAP] Machine Learning-Augmented COSMO-SAC Model for Accurate Screening of Green Deep Eutectic Solvents in Sustainable CO2 Capture LikeLiked Date: December 23, 2025 Less than 1 MinRead Views: 40 ACS Sustainable Chemistry & Engineering DOI: 10.1021/acssuschemeng.5c09987 Source: http://dx.doi.org/10.1021/acssuschemeng.5c09987 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 Exploring the Environmental Consequences of Iranian Zinc Industry: A Framework for Transitioning Towards Production-Stage Circularity Research August 27, 2026 3D printed functional, scalable, and sustainable mycelium-based wood-nanoclay composites Research August 27, 2026 Trade war threatens far more than targeted products Food & Agriculture August 27, 2026 Side-by-sides join Ride & Drive at Canada’s Outdoor Farm Show Food & Agriculture August 27, 2026 CIMC Raffles developing bamboo-based offshore floating photovoltaics Solar Power August 27, 2026 Effect of inorganic salts on dissolved organic matter adsorption using water hyacinth leaves and graphite in saline water Waste Management August 27, 2026 Environmental News August 27, 2026 The Big Interview: Black Eyed Peas’ Apl.de.ap on Philippines coconut rewinding Environmental News August 27, 2026 Heat pump-Carnot battery system for residential PV storage Solar Power August 27, 2026 Twisting Perovskite Interfaces Slows Ion Migration and Improves Device Stability Research August 27, 2026 Load more
