Publications by authors named "Jordi Valls Conesa"
Article Synopsis
- A random decision forest model is developed to quickly identify the most common types of microplastics based on their Fourier-transform infrared spectra.
- Input data is optimized by selecting key wavenumbers with a machine learning classifier, enhancing speed and efficiency.
- The model's accuracy is validated against controlled samples, though it may not be as reliable for diverse environmental samples due to variation in materials.
Article Synopsis
- Solid-state systems can have various thermodynamic phases influenced by factors like magnetic fields and strain; however, studying these nanoscale phases is challenging due to the need for high spatial resolution and detailed spectroscopic data.
- The researchers utilize coherent diffractive imaging spectroscopy (CDIS) to obtain detailed hyperspectral images of vanadium oxide, examining its different phases at the nanoscale.
- They discover that there are no phase transitions driven by correlations in the material, and highlight that CDIS could advance quantitative study in complex environments where traditional methods fall short.
