Research [ASAP] Interpretable Machine Learning for Screening Liquid Cooling Materials via Enthalpy of Vaporization LikeLiked Date: April 6, 2026 Less than 1 MinRead Views: 1 ACS Applied Energy Materials DOI: 10.1021/acsaem.5c03851 Source: http://dx.doi.org/10.1021/acsaem.5c03851 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 Properties and microbial communities of caproic acid production from food waste through lactate-based chain elongation: A comparative study between one-stage and two-stage systems Research May 1, 2026 Do battery and fuel cell systems have the potential to reduce vessel life cycle emissions? – A comparative LCA study for a Norwegian coastal... Research May 1, 2026 Cyclone Rains Spur Papua New Guinea Landslides Research May 1, 2026 Bot-House / SON Architecture Built Environment May 1, 2026 Stack & Field House / Steffen Welsch Architects Built Environment May 1, 2026 Harnessing deep eutectic solvents and mesoporous silica nanosphere immobilization for supercharged amine dehydrogenase catalysis in continuous flow Research May 1, 2026 A robust and efficient heterogeneous MoS2/Al2O3 catalyst for the hydrogenative recycling of polyurethane waste Research May 1, 2026 Smurfit Westrock examines delisting from LSE, closing UK mill Packaging April 30, 2026 NASA Invites Media to Ireland Artemis Accords Signing Research April 30, 2026 AgriFood Signals: US farm bill passes, Halter goes off-grid, Earlybird closes deeptech fund Food & Agriculture April 30, 2026 Load more
