Latest Articles for Engineering Applications

Explore the importance of multi-component flow modeling in various applications.

This article discusses predicting weakly turbulent systems using limited observations and advanced methods.

Techniques for improving the accuracy of numerical solutions in science and engineering.

New neural network architectures improve stability and accuracy in solving partial differential equations.

A new approach for nonlinear systems enhances modeling efficiency and accuracy.

Learn how kernel-based predictors improve our ability to manage nonlinear systems.

Analyzing methods to enhance pressure field accuracy from fluid flow data.

Analyzing pressure correction methods for fluid dynamics error management in simulations.

A look at how bubbles influence fluid behavior and turbulence.

Research enhances understanding of turbulent fluid behavior using modern data-driven methods.

This article reviews matvec's efficiency in single and multiple GPU environments.

New architectures for VQAs improve solutions for complex equations using quantum techniques.

Study reveals water jet behavior and droplet formation on heated surfaces.

New methods improve training and performance of Physics-Informed Kolmogorov-Arnold Networks.

New method improves predictions in turbulent fluid dynamics using reduced complexity.

This work links invariant cones and nonlinear normal modes in mechanical systems.

A method to analyze fluid behaviors at sharp boundaries and interfaces.

This method improves the solving of PDEs on surfaces that change shape over time.

This study examines how concave particle shapes influence granular flow in rotating drums.

This article examines Bayes posteriors in nonlinear inverse problems from a frequentist view.

This article discusses enhancing VPINNs efficiency using Least Squares and gradient descent.

Exploring how hot particles impact fluid behavior and viscosity.

Effective methods for overcoming complex fluid dynamics challenges.

Improving methods for clearer analysis of 3D volumetric data.

Exploring new techniques for studying fluid movement in porous materials.

Discover how droplets interact with surfaces through contact angle and friction.

Discover how raindrops behave on surfaces and the science behind their movement.

Researchers use MeshGraphNets to improve fluid dynamics simulations efficiently.

A new approach to find eigenvalue locations using block matrices.

Learn how RSVD simplifies large datasets efficiently.

Enhancing fluid flow control with innovative numerical techniques and robust approaches.

A look into the complex behavior of turbulence close to surfaces.

New models simplify handling of function-based data in various fields.

New insights into trust-region methods tackle challenges in unbounded Hessians.

New methods improve simulations of fluid flows in porous media with uncertain parameters.

New techniques improve efficiency in modeling complex systems.

Study of phase interactions affecting droplet behavior in materials.

A study on the dynamics of feed forward networks and their analysis methods.

This study explores how gravity waves behave around solid objects in layered environments.

A novel approach to handle dynamic boundary conditions in wave equations.