The potential energy surface (PES) is crucial for interpreting a variety of chemical reaction processes. However, predicting accurate PESs with high-level electronic structure methods is a challenging ...

The interface between machine learning (ML) and industrial applications has received a lot of interest recently due to the potential of ML to alter energy efficiency and sustainability programs. Since ...

The packaging industry is undergoing a transformation in 2025, working to redefine efficiency, quality, and consumer ...

AI spend is now strategic rather than tactical, but, despite the hype, organizations are moving carefully towards an agentic ...

Digital Twins represent virtual replicas of real-world objects, processes, or systems, enabling continuous real-time monitoring, dynamic adaptation, and predictive analytics. Their integration has ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...