Research [ASAP] Investigating Data Hierarchies in Multifidelity Machine Learning for Excitation Energies LikeLiked Date: March 13, 2025 Less than 1 MinRead Views: 32 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 A porous liquid constructed from single-walled polyoxometalate nanotubes for sustainable extractive–oxidative desulfurization Research December 1, 2025 Selective hydrodeoxygenation of lignin phenolics to cyclohexanols over low-Ru catalysts Research December 1, 2025 Amcor eyes ‘dual end of life’ optionality for innovation investments Packaging December 1, 2025 Applying a novel scoring approach to assess the success of waste management CDM projects by region, size, and subtype Research December 1, 2025 Exploring the Thrills of Gambling: Insight into an Ever-Evolving World Materials & Chemicals December 1, 2025 Hurricane season is over. Here’s why the US never got hit. Environmental News December 1, 2025 A drying Great Salt Lake is spewing toxic dust. It could cost Utah billions Environmental News December 1, 2025 Discover the Thrills of Online Casino Adventures Materials & Chemicals December 1, 2025 What Fits in the Void? Terrain Vague and Cities That Resist Planning Built Environment December 1, 2025 MÔ He’ritage Villa / MÔ he studio Built Environment December 1, 2025 Load more
