Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Based on these challenges, a comprehensive reassessment of how AI should be deployed in electrocatalysis has become urgently ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

Researchers employ machine learning to more accurately model the boundary layer wind field of tropical cyclones. Conventional approaches to storm forecasting involve large numerical simulations run on ...

As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...

Global climate models capture many of the processes that shape Earth's weather and climate. Based on physics, chemistry, ...

Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...