Latest Articles for Simulation Techniques

A new method for accurate predictions in changing physical situations using machine learning.

Researchers leverage quantum computing to study electron interactions in materials.

Understanding simulations is key to improving electric machines and transformers.

drMD streamlines protein simulations, making research more accessible for scientists.

Researchers leverage new algorithms to enhance lattice gauge theory simulations.

New correction strategies enhance numerical methods for modeling complex physical systems.

Combining domain decomposition and operator inference for faster simulations.

A new method enhances efficiency in studying complex quantum systems.

This study presents a model that learns simulations from video input.

Streamlining digital twins through reduced order models and high-performance computing.

A look into the dynamics of black hole accretion disks and their complexities.

Innovative approaches to simulate time-dependent behavior of particles in quantum systems.

This model improves dust evolution studies in planet formation.

Multi-fidelity modeling optimizes simulation accuracy while reducing computational expenses.

Examining how environmental arrangements impact quantum system simulations.

AgentTorch enhances agent-based modeling, simulating complex behaviors in large populations.

A look at how fixed networks form connections and their degree distributions.

Using quantum algorithms to solve classical steady-state problems efficiently.

FEM aids in understanding and enhancing ultrasonic motor performance.

Quantum computers enhance our understanding of particle interactions and dynamics.

New methods improve the accuracy of supernova light simulations.

This article discusses uncertainty analysis in engineering through the FgPC method.

A method to prevent sagging in elastic strands through rest shape optimization.

Explore the role of Lattice Boltzmann Method in studying multiphase flows.

A novel approach unites solid and fluid dynamics through particle flow maps.

This study examines how CGM angular momentum influences star formation in galaxies.

Introducing L/SES, a method to analyze turbulence efficiently and accurately.

Exploring galaxy clustering methods and their impact on cosmology.

New method improves efficiency and accuracy in astrophysical simulations.

A new method improves robot cloth manipulation for real-world tasks.

Researching the coexistence of dark matter types offers new insights into cosmic structures.

New methods improve predictions for materials with strong electronic interactions.

A new framework enhances accuracy in atomistic simulations through advanced force field optimization.

A new method enhances solution transfer accuracy in complex simulations.

This study investigates uncertainties in parton shower simulations and their effects on jet behavior.

Examining how magic depth affects classical simulations of quantum circuits.

The ACE method boosts computational efficiency in excited state calculations.

Researchers improve the RCMC method for faster and more reliable chemical reaction simulations.

A new method enhances obstacle avoidance for flexible robots in complex environments.

Exploring the adaptive mesh refinement framework in astrophysical simulations.