Explainable AI and turbulence: A fresh look at an unsolved physics problem

While atmospheric turbulence is a familiar culprit of rough flights, the chaotic movement of turbulent flows remains an ...

New theory promises faster, more accurate predictions of chemical reaction energetics

Researchers at the University of Illinois Urbana-Champaign have developed a new theoretical framework that could dramatically ...
IEEE

Disturbance Observer-Based Data Driven Model Predictive Tracking Control of Linear Systems

Abstract: This paper introduces a new data-driven MPC structure based on two offline and online parts to achieve the robust and constrained performance in an optimal scheme. In the first step, ...
Heart

Estimating 5-year absolute risk of cardiovascular disease using routinely collected electronic medical records from Australian general practices

Background Recent cardiovascular risk equations from the USA and United Kingdom use routinely collected electronic medical records (EMRs), while current equations used in Australia (AusCVDRisk) have ...
Physics World

Neural networks discover unstable singularities in fluid systems

The Navier–Stokes partial differential equation was developed in the early 19th century by Claude-Louis Navier and George ...