Research [ASAP] Bayesian Optimization for High-Dimensional Coarse-Grained Model Parameterization: A Case Study on Pebax Polymer LikeLiked Date: January 21, 2026 Less than 1 MinRead Views: 11 Journal of Chemical Theory and Computation DOI: 10.1021/acs.jctc.5c01500 Source: http://dx.doi.org/10.1021/acs.jctc.5c01500 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 Semi-embedded Ni@ZSM-5 catalyst for efficient fatty acid hydrodeoxygenation: Role of metal–support interaction Research April 12, 2026 An emulsifier- and organic solvent-free one-step method for fabricating nano-encapsulated phase change materials Research April 12, 2026 ORNL Researchers Design Superionic Polymer Electrolytes for Solid State Batteries Research April 11, 2026 Scientists Create Roadmap for Designing and Tuning Spintronic Technologies Research April 11, 2026 Accurately regulating the Ni coordination environment via atomic layer deposition and enabling efficient CO2 electroreduction Research April 11, 2026 Gosford Regional Library / Lahznimmo Architects Built Environment April 11, 2026 PUKKUN Residence / REIMS 502 Built Environment April 11, 2026 La NASA da la bienvenida a la Tierra a los exploradores lunares de Artemis II, quienes batieron récords Research April 11, 2026 NASA Science, Cargo Launch Aboard Northrop Grumman CRS-24 Research April 11, 2026 PPy/PDMS-functionalized delignified wood aerogel: Photothermal-electrical dual-energy empowerment and all-weather oil–water separation performance Research April 11, 2026 Load more
