Latest Articles for Simulation Techniques

Research focuses on improving low-order finite elements for better material simulations.

Recent research reveals how light and molecules interact in cavities, leading to new states.

This article discusses the advantages of using harmonic oscillator staging in quantum simulations.

A look into methods for simulating complex quantum systems affected by noise and entanglement.

A look at how MLMC improves complex estimations using layered approaches.

Explore the significance of parton showers in high-energy particle collisions.

Examining how rescaling affects genetic simulation results and findings.

This study assesses GPU benefits for CFD simulations in terms of speed, power, and costs.

This study highlights the efficiency of off-policy learning in adversarial imitation.

Simulations play a vital role in assessing the safety of autonomous vehicles.

A new model to enhance performance in communication networks.

Supernovae significantly influence star formation and the development of galaxies.

This article examines how sound waves behave in a lattice structure.

Introducing a simple approach for solving complex physical systems over time and space.

A new method improves molecular dynamics simulations by enhancing data sampling.

An overview of black holes, accretion disks, and the energy they emit.

This study evaluates how galaxy clusters gain mass over time using simulations.

This article addresses how to simulate client data for faster federated learning.

We develop methods for simulating complex multi-level systems using qubit-based quantum simulators.

This study presents improved methods for identifying galaxy cluster states using simulations.

Research introduces quantum algorithms based on path integral formulation for efficient simulations.

This method improves CFD accuracy and efficiency using machine learning.

This article examines how stars and their disks form and evolve.

This study focuses on improving robot training by transferring reinforcement learning from simulation to real environments.

Exploring new methods for more effective fluid-structure interaction simulations.

A new method effectively simulates elastic objects across various representations.

New model enhances simulations of physical systems using machine learning techniques.

A straightforward look at turbulent flow and its significance in fluid dynamics.

Researchers enhance reinforcement learning with a new framework for uncertain environments.

This article discusses how interacting particle systems enhance reinforcement learning strategies.

An overview of Material Point Methods and their applications in studying materials.

A new approach to study turbulent fluids in neutron star mergers using advanced simulations.

Scientists develop simulations to minimize noise in rare decay detection experiments.

New simulations reveal insights into ethylene cation dynamics and reaction processes.

A study on statistical errors in Langevin dynamics using various numerical integrators.

RKGC improves accuracy and consistency in fluid simulations using SPH.

SPOD enhances modeling efficiency by accurately capturing system behavior over time and space.

Researchers develop a fast emulator for complex computer models.

A new method enhances material performance predictions for 3D-printed components.

Learn about IPMs and how MLMC enhances their performance across various applications.