The paper introduces a Special Issue showcasing how AI-enabled solutions are transforming industrial systems, smart ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...

A new topology-based method predicts atomic charges in metal-organic frameworks from bond connectivity alone, making large-scale computational screening practical.

The US DOE has set AI-driven challenges under the Genesis Mission to advance nuclear energy, fusion, cleanup, and national ...

Background and objectives Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.

In an increasingly interconnected world, understanding the behavior and structure of complex networks has become essential ...

This proteomics-driven approach to drug discovery improves target validation and uncovers insights into undruggable proteins, ...

A certain type of brain training appears to prevent or delay dementia by some 25% in people older than age 65, according to new research. Surprisingly, it wasn’t memory or problem-solving tasks that ...