As climate change accelerates, exploration firms and global miners face mounting pressure from two directions. On one side, ...

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 ...

Department of Chemical System Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan ...