Predicting a system's final outcome from its initial state is the ultimate goal for many physicists. In certain complex systems, however, this goal is thwarted by chaos, where even the subtlest tweaks ...

Researchers at the University of Melbourne have coupled molecular dynamics-derived soot rates with computational fluid dynamics to predict soot growth in flames with near-sectional accuracy at a ...

More than 20% of the workload on the world's 500 fastest supercomputers is spent simulating how atoms and molecules move—with applications ranging from material design to identifying drug interactions ...

Theory, computation, and simulation are foundational to modern energy research. Theoretical understanding reveals why materials and systems behave as they do, predicting performance before experiments ...

PC case airflow simulation by Inviscid AI finds bottom-mounted intake fans cut CPU cooler intake air temperature by up to 13 ...

Computer scientists at the University of California San Diego have developed a method for generating highly realistic computer-generated images of fluid dynamics in elements such as smoke. This ...

Introduction: The Role of Pest Resistance Management and Mathematical Modeling in AgricultureIn modern agriculture, the introduction of genetically modified (Bt) crops has contributed significantly to ...

Computational analysis using rigidity-theory indicates that activation of the human adenosine A 2A receptor (shown here) is regulated by long-range allosteric communication pathways (highlighted in ...

Uncertainty is no longer episodic but a persistent feature of the operating environment for businesses, as market volatility, geopolitical risk, regulatory changes, demographic shifts and climate ...

An atomistic molecular dynamics simulation of a dense ionic liquid made of LiTFSI — a key lithium salt used to study next-generation battery electrolytes. Each sphere represents an atom, with colors ...