Atmospheric pollution, characterized by complex aerosols and ozone, poses a significant global challenge to climate, environment, and public health.

Combining machine learning with multimodal electrochemical sensing can significantly improve the analytical performance of biosensors, according to new findings from a Penn State research team. These ...

An integrated framework combining first-principles calculations and machine learning was developed to predict gas-sensing performance. Key descriptors such as adsorption energy, adsorption distance, ...

Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...

In a significant development for 'lens-less' imaging, researchers have devised a new image reconstruction method that enables high-quality imaging in a short computing time. The new method is based on ...