Replica symmetry breaking in 1D Rayleigh scattering system: theory and validations

Revealing the underlying patterns behind complex systems and predicting their behavior has become a focal point of current interdisciplinary research. In this study, researchers delved into the intrinsic mechanisms of complex systems behavior of photonic phase transitions in one-dimensional Rayleigh scattering systems by establishing a Rayleigh-scattering-phase-variation model with experimental realization. This work expands the current understanding of photonic phase transitions, which is an important reference value for the study of various complex systems. Furthermore, it advances the application of random fiber lasers in critical fields such as high-power laser devices.

Department of Energy Announces $16 Million for Research on Scientific Machine Learning for Complex Systems

Today, the U.S. Department of Energy (DOE) announced $16 million in funding for four projects in scientific machine learning for the predictive modeling and simulation of complex systems.

Fighting Intolerance with Physics

In a world experiencing growing inequality and intolerance, tools borrowed from science and mathematics could be the key to understanding and preventing prejudice. In Chaos, Luis A. Martinez-Vaquero applies evolutionary game theory, which combines techniques from economics and biology, and complex system analysis to investigate the relationship between inequality and intolerance. He found that inequality boosts intolerance and that redistribution of wealth can prevent its infectious spread.

Invention: The Storywrangler

Scientists have invented a first-of-its-kind instrument to peer deeply into billions of Twitter posts–providing an unprecedented, minute-by-minute view of popularity, from rising political movements, to K-pop, to emerging diseases. The tool–called the Storywrangler–gathers phrases across 150 different languages, analyzing the rise and fall of ideas and stories, each day, among people around the world. The Storywrangler quantifies collective attention.

Targeting SARS-CoV-2 Enzyme with Inhibitors

As the COVID-19 pandemic continues to spread, many researchers are studying epidemiological models to predict its propagation. However, a mathematician and expert in complex systems decided to focus on finding targets within SARS-CoV-2 for new drugs to attack. In the journal Chaos, he discusses the dramatic increase in the sensitivity of the main protease of SARS-CoV-2 to small disturbances, which made him suspect there is a role for inhibitors to play in killing the virus.