Research [ASAP] Effective and Explainable Molecular Property Prediction by Chain-of-Thought Enabled Large Language Models and Multi-Modal Molecular Information Fusion LikeLiked Date: May 20, 2025 Less than 1 MinRead Views: 31 Journal of Chemical Information and Modeling DOI: 10.1021/acs.jcim.5c00577 Source: http://dx.doi.org/10.1021/acs.jcim.5c00577 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 Toward a sustainable TV industry: Measuring the carbon footprint across the entire production life cycle Research July 17, 2026 Thiourea Coating Helps Lithium-Rich Cathodes Retain 97% Capacity After 600 Cycles Research July 16, 2026 How to Cancel Your Gas Connection in Australia (State by State) Solar Power July 16, 2026 What Are Tier 1 Solar Panels? (Don’t Get Scammed) Solar Power July 16, 2026 I Used To Hate Giant EVs Like The Cadillac Escalade IQL. Then I Drove One Electric Vehicles July 16, 2026 New H-2A Guidance for Dairy Operations Food & Agriculture July 16, 2026 Xpeng’s new L03 undercuts Tesla Model Y by up to $10,000 in Europe Electric Vehicles July 16, 2026 Kukirin G4 Max Review: 50 MPH of Off-Road Value Electric Vehicles July 16, 2026 Honda Just Axed Its Last EV In The U.S. Electric Vehicles July 16, 2026 Wildfire Smoke Returns: What to Know About This Week’s Air Quality Environmental News July 16, 2026 Load more