There has been growing interest in the adoption of complex systems approaches to tackle major public health challenges such as obesity. This perspective redirects focus from individually oriented and ...

Kinetic theory and mathematical modeling have emerged as indispensable tools for elucidating the collective behaviour of complex systems. This discipline applies statistical mechanics to a diverse ...

CAMBRIDGE, MA -- Over the past two decades, new technologies have helped scientists generate a vast amount of biological data. Large-scale experiments in genomics, transcriptomics, proteomics, and ...

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 ...

Researchers used large language models to efficiently detect anomalies in time-series data, without the need for costly and cumbersome training steps. This method could someday help alert technicians ...

Synchronization abounds in nature: from the flashing lights of fireflies to the movement of fish wriggling through the ocean, ...

Understanding how matter reorganizes as its density increases is a central question in particle and condensed-matter physics. Yet in quantum systems governed by strong interactions, finding analytical ...

Designing a complex electronic device like a delivery drone involves juggling many choices, such as selecting motors and batteries that minimize cost while maximizing the payload the drone can carry ...

Chinese researchers used the Oceanlite supercomputer and a custom NNQS model to simulate molecular systems with 120 spin ...

The simulation of strongly interacting many-body systems is a key objective of quantum physics research, as it can help to ...

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 ...