Tag N-body simulations

RARL: Enhancing RL Stability through Adversarial Learning

Deep neural networks have revolutionized the field of reinforcement learning (RL) by enabling significant advancements in training agents to perform complex tasks. However, a key challenge faced by current RL approaches is the difficulty in generalizing learned policies to real-world… Continue Reading →

L-PICOLA: A Fast Parallel Code for Dark Matter Simulation

In the world of astrophysics, scientists are constantly looking for ways to understand and explore the mysteries of the universe. One such mystery is the nature of dark matter, an elusive substance that makes up a significant portion of our… Continue Reading →

Composition-Dependent Cooling and Heating Curves in Galaxy Evolution Simulations

When it comes to understanding the complexities of galaxy formation and evolution, researchers continuously strive to develop better simulation models. In a research article titled “New composition dependent cooling and heating curves for galaxy evolution simulations,” authors Sven De Rijcke,… Continue Reading →

Application of the Metallurgically Oriented Simulation System “TKS-StripCam” to Predict the Properties of Hot Strip Steels from the Rolling Conditions

The production of hot strip steels in a hot rolling mill involves a complex process where the mechanical properties of the steel are determined by its microstructure and chemical composition. To accurately predict the properties of hot strip steels, metallurgical… Continue Reading →

GreeM: Massively Parallel TreePM Code for Large Cosmological N-body Simulations

A High-Performance Solution for Cosmological N-body Simulations As our understanding of the universe evolves, so does the need for advanced computational tools to study its vast complexities. The field of cosmology, which explores the large-scale structure and dynamics of the… Continue Reading →

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