Now, a team led by Professor Sascha Feldmann at EPFL’s Laboratory for Energy Materials has developed a high-sensitivity, ...

Master the art of identifying small molecules through mass spectrometry. Join our course for hands-on training in data ...

Plants produce a wide diversity of compounds. Broadly, these are separated into primary metabolites, which are necessary for ...

“Scientists have long observed that the capability for a material to absorb electromagnetic radiation — a wave of energy in the form of sunlight and X-rays, among others — at a given wavelength and ...

This review examines AI and ML's role in transforming thermoelectric materials design, focusing on defect engineering and ...

Such detection speed is the result of combining ML and UV absorbance spectroscopy to detect microbial contamination in cell therapy products.

Landauer's principle is a thermodynamics concept also relevant in information theory, which states that erasing one bit of ...

An international research team has investigated the impact of intrinsic point defects in selenium solar cells and has concluded that these defects are not responsible for voltage deficit. The ...

In order to determine the spectral characteristics of the material (for example, the chemical composition at each point), we ...

Memory technology has evolved quickly in recent years, driven by the need to improve on traditional systems. One promising candidate, Magnetoresistive Random Access Memory (MRAM), is gaining attention ...

The unique structure of CMOS technology offers distinct advantages that are highly valued in spectroscopy, including high ...

This article explores the current applications of artificial intelligence (AI) in chromatography. It anticipates AI’s ...