Granular matter is all around us. Examples include sand, rice, nuts, coffee and even snow. These materials are made of solid particles that are large enough not to experience thermal fluctuations.

An artificial neural network has taken its first steps toward predicting the timing and size of future destructive earthquakes, according to RIKEN researchers. Their paper is published in the journal ...

Researchers from Skoltech and the Shanghai Institute of Optics and Fine Mechanics have developed an approach that helps ...

In our increasingly electrified world, supercapacitors have emerged as critical components in transportation and renewable energy systems, prized for their remarkable power density, cycling stability, ...

Please provide your email address to receive an email when new articles are posted on . An AI model could predict COPD exacerbations using urinary biomarkers. Additional studies are needed before ...

A team of New York University computer scientists has created a neural network that can explain how it reaches its predictions. The work reveals what accounts for the functionality of neural networks ...

In disaster mitigation planning for future large earthquakes, seismic ground motion predictions are a crucial part of early warning systems. The way the ground moves depends on how the soil layers ...

Association of adaptive immunity/inflammatory genes with survival in prostate cancer. Biopsies avoided with a grade group (GG) ≥2 prostate cancer (PCa) threshold of 18.6. Validation Sites GG ≥2 PCa ...