Research [ASAP] DeePFAS: Deep-Learning-Enabled Rapid Annotation of PFAS: Enhancing Nontargeted Screening through Spectral Encoding and Latent Space Analysis LikeLiked Date: September 30, 2025 Less than 1 MinRead Views: 26 Environmental Science & Technology DOI: 10.1021/acs.est.5c09769 Source: http://dx.doi.org/10.1021/acs.est.5c09769 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 2026 Jaecoo J8 SHS PHEV Brief Drive: With such luxury features, should you care how it drives? Electric Vehicles July 25, 2026 In Michigan, the price of energy is on the ballot and both parties know it Energy July 25, 2026 Materials-Driven Fusion Approach Opens New Era for Nuclear Science Research July 25, 2026 The Tesla Model Y Has Changed A Surprising Amount In 6 Years Electric Vehicles July 25, 2026 Electric Vehicles July 25, 2026 Mechanistic insights into the capture of bisphenol homologs by macroporous chitosan-bentonite composite foams Research July 25, 2026 Fossil fuels in Australia receive four times more government support than renewables, report finds Environmental News July 25, 2026 Chery reaches 20 million sales with a third of owners outside China Electric Vehicles July 25, 2026 Robert Bradford’s Soft Toy Sculptures: Where Childhood Memories Meet Contemporary Art Waste Management July 25, 2026 A multi-source traceability and assessment framework for comprehensive environmental impacts in national parks: A case of Wuyishan National Park Research July 25, 2026 Load more