Research [ASAP] Investigating Data Hierarchies in Multifidelity Machine Learning for Excitation Energies LikeLiked Date: March 13, 2025 Less than 1 MinRead Views: 19 Journal of Chemical Theory and Computation DOI: 10.1021/acs.jctc.4c01491 Source: http://dx.doi.org/10.1021/acs.jctc.4c01491 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 Willingness to pay for water quality improvement of Mayur River in Khulna Research June 30, 2025 FY24 Environmental, Social , & Governance Report Climate & Resource June 30, 2025 Optimization, Kinetics and thermodynamic modeling of pulp production from plantain stem using the kraft process Research June 30, 2025 NASA Awards Electrical Utility Services Contract for Kennedy Research June 30, 2025 Stripping and cracking resistance of sustainable warm stone mastic asphalt incorporating construction and demolition waste aggregates with digital image processing Research June 30, 2025 A phase-transfer-assisted strategy for oxidation-based biomass valorization Research June 30, 2025 Dual enabling photomediated Knoevenagel condensation and alkene perfluoroalkylation reactions by a photoresponsive cadmium–organic framework Research June 30, 2025 Water Contaminant Levels Can Remain High for Eight Years After a Wildfire, Study Finds Environmental News June 30, 2025 Manure Expo Mondays: Speaker focus Food & Agriculture June 30, 2025 Alltech Releases 2024 Sustainability Report Food & Agriculture June 30, 2025 Load more