Research [ASAP] Interpretable Machine Learning for the Design of (K, Na)NbO3-Based Piezoceramics Using Combinatorial and Knowledge-Embedded Descriptors LikeLiked Date: October 14, 2025 Less than 1 MinRead Views: 21 ACS Applied Materials & Interfaces DOI: 10.1021/acsami.5c14694 Source: http://dx.doi.org/10.1021/acsami.5c14694 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 May 1, 2026 NASA Kennedy Center Director Announces Plans to Retire Research May 1, 2026 NASA Artemis II Crew Rings Nasdaq Closing Bell Research May 1, 2026 France Unveils Roadmap to Quit Fossil Fuels by 2050 Environmental News May 1, 2026 Titan launches Goodyear Softrac Pro and Smooth lines Clean Tech May 1, 2026 AuLCA: augmented life cycle assessment for chemical data gaps Research May 1, 2026 Efficient and selective recovery of spent NCM cathode materials: a green deep eutectic solvent process via synergistic acidity–viscosity regulation Research May 1, 2026 Best Throw Pillows to Instantly Elevate Your Home Style Food & Agriculture May 1, 2026 Public Swimming Pool Großfeldsiedlung / Illiz Architektur Built Environment May 1, 2026 Mapped: Every Country’s Fertility Rate as Births Decline Worldwide Finance & investments May 1, 2026 Load more
