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Researchers from the Pacific Northwest National Laboratory and Johns Hopkins University have reported that machine learning and molecular dynamics simulations can help to gain a deeper understanding of the formation of condensation rings in laser spot welding. The related paper titled 'Machine learning and molecular dynamics simulations aided insights into conditioned ring formation in laser spot ...
Recently, a research team from Rice University in the United States developed a new machine learning algorithm - Peak Sensitive Elastic Network Logistic Regression (PSE-LR). This algorithm is adept at interpreting the unique optical characteristics of molecules, materials, and disease biomarkers, which can help achieve faster and more accurate medical diagnosis and sample analysis. The relevant pa...
Reducing stray light is one of the main challenges in combustion experiments using laser beams (such as Raman spectroscopy) for detection. By using a combination of ultrafast laser pulses and gated ICCD or emICCD cameras, a time filter can be effectively used to remove bright and constant flame backgrounds. When the signal reaches the detector, these cameras can open electronic shutters within the...
Recently, SMART Photonics, a Dutch photonic integrated circuit manufacturer, announced a major decision to transfer its entire production capacity from 3-inch wafers to 4-inch silicon substrates, thereby expanding the production scale of photonic chips and significantly reducing chip prices.According to the company, SMART Photonics is one of the first photonic integrated circuit foundries to provi...
Chip giant Intel announced that it has completed the assembly work of the world's first commercial high numerical aperture (NA) extreme ultraviolet lithography (EUV) scanner. This device greatly improves the resolution and feature scaling of next-generation chips by changing the optical design used to project printed images onto silicon wafers.This lithography equipment weighing 150 tons has been ...