Research [ASAP] Investigating Data Hierarchies in Multifidelity Machine Learning for Excitation Energies LikeLiked Date: March 13, 2025 Less than 1 MinRead Views: 27 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 The effectiveness of the hot composting berkeley method as a soil amendment for cauliflower cultivation Waste Management November 1, 2025 Synergistic effects of microwave curing regimes on early, mid, and long-term strengths and microstructural performance of fly ash-slag based 3D-printed geopolymers Research November 1, 2025 Research November 1, 2025 67-Unit Social Housing Building in Illa Glòries / Vivas Arquitectos + Pau Vidal Built Environment November 1, 2025 Weavers – Seer Green House / Des Ewing Architects Built Environment November 1, 2025 Recent advancements in microbial carbon dioxide fixation: metabolic engineering strategies Research November 1, 2025 Synergistic enhancement of evaporation-driven power generation via thermoelectric coupling at elevated temperatures Research November 1, 2025 The recycling chain of post-consumer glass in the coal region of southern Brazil and the behavior of all stakeholders Waste Management November 1, 2025 Research November 1, 2025 Mapped: Which States Have the Strongest Halloween Spirit? Finance & investments October 31, 2025 Load more
