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 ...

The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in research applications to explore potentially high-impact approaches in the development and use of ...

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 ...

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 ...

Understanding the difference between deterministic and non-deterministic systems is key to thriving in this new world of AI.

Scientists have developed a new method to analyze the dynamical, out-of-equilibrium properties of complex disordered systems, such as gold with magnetic impurities or opinions spreading on social ...

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 ...

The simulation of strongly interacting many-body systems is a key objective of quantum physics research, as it can help to test the predictions of physics theories and yield new valuable insight.

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 ...