Research [ASAP] Mol-AIR: Molecular Reinforcement Learning with Adaptive Intrinsic Rewards for Goal-Directed Molecular Generation LikeLiked Date: February 24, 2025 Less than 1 MinRead Views: 27 Journal of Chemical Information and Modeling DOI: 10.1021/acs.jcim.4c01669 Source: http://dx.doi.org/10.1021/acs.jcim.4c01669 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 Hydrogen isotope exchange of multisubstituted alkenes catalyzed by zeolite Research April 23, 2026 Domino photoreduction of CO2 to CH4/C2H6 by steering catalyst amounts Research April 23, 2026 A metabolic relay for caproic acid production in Huangshui: Cooperative interaction between Clostridium tyrobutyricum and Caproiciproducens Research April 23, 2026 Smoke Shrouds Northern Thailand Research April 23, 2026 NASA SBIR/STTR Phase I and II BAA, 2026 Appendix A and B are now live! Offers due May 21, 2026, 5:00PM EDT Research April 22, 2026 From Pilot to Practice: Lessons from LC3 Deployment in India Climate & Resource April 22, 2026 Soil Capital’s latest deal with Nestlé highlights regen ag’s role in building a more resilient food system Food & Agriculture April 22, 2026 2026 Alltech® Agri-Food Outlook Food & Agriculture April 22, 2026 Community responses to land degradation: Insights from land restoration bright-spot communities in the Ethiopian Highlands Research April 22, 2026 Louvered House / i2a Architects Studio Built Environment April 22, 2026 Load more
