Research [ASAP] Machine Learning-Assisted ZnIn2S4/TiO2 Heterostructure Gas Sensor for Sensitive, Stable, and Reliable Triethylamine Detection in Complex Environments LikeLiked Date: January 19, 2026 Less than 1 MinRead Views: 16 ACS Applied Electronic Materials DOI: 10.1021/acsaelm.5c02572 Source: http://dx.doi.org/10.1021/acsaelm.5c02572 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 🌎 New survey: How climate tech gets funded in 2026 #291 Finance & investments April 13, 2026 Microsoft Hits Pause on All Carbon Removal Purchases: A Major Shift in Corporate Climate Strategy Carbon Markets April 13, 2026 Radisson Hotel Group Ramps Up Net Zero Push by 2030: How Does it Compare with Marriott and Accor? Climate & Resource April 13, 2026 Next step in recycling more healthcare plastics: Better labeling Packaging April 13, 2026 The ‘pressure-verse’ calls for packaging strategy resets Packaging April 13, 2026 Strengthening sustainability mindsets: Evidence from an analysis of the Human–Nature Connection and environmental behavior in Indonesia Research April 13, 2026 Tonya Haverkamp named 2026 Farm and Food Care Champion Food & Agriculture April 13, 2026 Packing media regulate nitric oxide removal performance by driving community assembly and biofilm evolution in biotrickling filters Research April 13, 2026 Who Owns America’s $39T Debt Finance & investments April 13, 2026 Ranked: How Much People Save Around the World Finance & investments April 13, 2026 Load more
