A team of researchers at the Technical University of Munich and ́Ecole Polytechnique Fédérale de Lausanne has developed an innovative computational approach combining machine learning and Raman ...
Pittcon 2026 (held in San Antonio, TX) will present a session focusing on advances in the detection and characterization of per- and polyfluoroalkyl substances (PFAS). PFAS persist in water, soil, and ...
Gallium nitride (GaN) is a promising semiconductor material that outperforms silicon-based devices. However, optimal performance requires high-quality GaN. Photoluminescence (PL) spectroscopy is a non ...
Transmission electron microscopes (TEMs) allow researchers at the forefront of energy technology to study next-generation ...
Ceria (CeO2) particles with low to ultra-low loading of nickel dopant were produced using an aerosol-based, droplet-to-particle synthesis via an in-line calcination technique. This aerosol-based ...
Bispecific antibodies offer dual targeting, enhancing specificity and therapeutic efficiency while reducing toxicity compared to traditional monoclonal antibodies. Fragment-based, symmetric, and ...
The most comprehensive, family-based variant dataset ever published will improve variant classification using AI-based tools MENLO PARK, Calif., Aug. 04, 2025 (GLOBE NEWSWIRE) -- PacBio (NASDAQ: PACB) ...
Abstract: 2-D materials show promise to possibly replace Si channel material to continue Moore’s Law scaling of transistors down to 5 nm gate lengths. The scaling opportunities of 2-D materials arise ...
Light scattering has long stood as a cornerstone technique in the characterization of particles across a wide range of scientific disciplines. From pharmaceuticals to food production, and from ...
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