Mass spectrometry (MS) can be effective in identifying unknown compounds, though this can be complicated if spectra is ...

Studies leveraging NIR and CNNs report accuracies exceeding 95%, with some achieving perfect classification for pure fibers.

Women have long contributed meaningful scientific discoveries to the field of astronomy; however, men have primarily ...

Stromatolites in such extreme settings offer critical insight into life’s adaptability and leave behind distinct ...

Here, we developed interpretable machine learning models that can classify uranium minerals by secondary oxyanion chemistry and other physicochemical properties based solely on Raman spectra. This new ...

Researchers at Rice University have developed a new machine learning (ML) algorithm that excels at interpreting the "light ...

Electronic SFG (ESFG) spectroscopy was conducted on three OLED devices to examine spectral changes induced by the charge behavior and electronic structure at the interfaces. "We examined the ...

However, the existing multimodal classification methods often face challenges such as insufficient information extraction, sensitivity to noise, and inadequate utilization of complex spectral-spatial ...

The FIA have confirmed the official final classification from the Bahrain Grand Prix, after a wave of penalties were issued after the race. Oscar Piastri clinched his second victory of the season at ...

What is new is the combination of optofluidic force induction with Raman spectroscopy. Now the spectrum of the laser light scattered by individual particles in the liquid is also analyzed.