A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, "Time-lagged recurrence: A data-driven method to estimate the predictability of ...

Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by poor interpretability, ...

The new method can determine crystal structures underlying experimental data thus far difficult to analyze. A joint research team led by Yuuki Kubo and Shiji Tsuneyuki of the University of Tokyo has ...

Unmanned Aerial Vehicle (UAV) intention recognition has been extensively studied. However, when it comes to a UAV swarm problem, their intention recognition study was left blank. The flowchart ...

Understanding how molecules interact with metal surfaces is fundamental to catalysis and surface chemistry. However, traditional computational methods face a trade-off: achieving high accuracy often ...

Computational Chemistry is the study of complex chemical problems using a combination of computer simulations, chemistry theory and information science. Also called cheminformatics, this field enables ...

Carnegie Mellon University will introduce new academic programs and resources for students and researchers to blend traditional humanistic inquiry with computational methods like computer vision, ...

From 11.5 million alloy candidates to AI-guided perovskites, this piece unpacks how materials informatics is speeding up discovery, design, and deployment in engineering.

Many organizations today are overwhelmed by vast amounts of data from diverse sources, such as consumer interactions, market trends and operational processes. Mastering data management and analysis is ...

Decisions are the lifeblood of business. From the c-suite to frontline employees, decisions are constantly being made at all levels within organizations. Some are consequential and irreversible, but ...