Accelerating Plasmonic Hydrogen Sensors for Inert Gas Environments by Transformer-Based Deep Learning.

Rapidly detecting hydrogen leaks is critical for the safe large-scale implementation of hydrogen technologies. However, to date, no technically viable sensor solution exists that meets the corresponding response time targets under technically relevant conditions. Here, we demonstrate how a tailored long short-term transformer ensemble model for accelerated sensing (LEMAS) speeds up the response of an optical plasmonic hydrogen sensor by up to a factor of 40 and eliminates its intrinsic pressure dependence in an environment emulating the inert gas encapsulation of large-scale hydrogen installations by accurately predicting its response value to a hydrogen concentration change before it is physically reached by the sensor hardware.

Dried blood spot: A diagnostic detection method for HBV, HCV and HIV nucleic acid using a single drop of blood.

The global strategy to eradicate Hepatitis B (HBV), Hepatitis C (HCV), and HIV by 2030 is critical due to their impact and challenges to healthcare systems. HCV is curable, but HBV and HIV are only suppressible, with a vaccine available solely for HBV. Innovative diagnostic methods are needed, especially for high-risk populations like people who inject drugs (PWID).

Photofragmentation laser-induced fluorescence imaging of CH by structured illumination in a plasma discharge.

Methyl is crucial in plasma-assisted hydrocarbon chemistry, making precise in situ imaging essential for understanding various plasma applications. Its importance in methane chemistry arises from its role as a primary byproduct during the initial phase of methane dehydrogenation. Detecting the CH radical is challenging due to its high reactivity and the prevalence of strongly pre-dissociative electronically excited states.