Research [ASAP] Investigating Data Hierarchies in Multifidelity Machine Learning for Excitation Energies LikeLiked Date: March 13, 2025 Less than 1 MinRead Views: 26 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 Research 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 Conservation Authorities to be amalgamated Food & Agriculture October 31, 2025 Mapped: Where Do People Celebrate Halloween Around the World? Finance & investments October 31, 2025 For a struggling Iowa ranch, the government shutdown may be the last straw Environmental News October 31, 2025 ‘A devastating global audit’ shows how climate change is undermining the health of millions Environmental News October 31, 2025 Load more