In fields ranging from immunology and ecology to economics and thermodynamics, multi-scale complex systems are ubiquitous. They are also notoriously difficult to model. Conventional approaches take ...

Discover how Markov chains predict real systems, from Ulam and von Neumann’s Monte Carlo to PageRank, so you can grasp ...

A team led by Academician GUO Guangcan from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS), with collaborative efforts from the University of ...

Microsoft’s data lakes meet the industrial internet of things, helping you create complex models with data from multiple sources. Digital twins are an important part of modern control systems. They ...

Today’s electronic systems are an increasingly complex combination of hardware and software components. They contain an ever-expanding range of functions, require more computing power, have to operate ...

Kinetic theory and mathematical modelling have emerged as pivotal tools in analysing complex systems – ranging from biological entities and social interactions to financial markets. These methods ...

This research introduces a novel approach to uncovering structural variables in complex systems, reshaping how we model the unpredictable behaviour of the real world Connected puzzle pieces (Courtesy: ...