Latest Articles for Engineering Applications

A new benchmark enhances offline multi-objective optimization methods across various fields.

This method improves CFD accuracy and efficiency using machine learning.

GSDO optimizes complex problems without needing derivatives.

Multi-rate methods improve simulation efficiency for dynamic systems with varying rates of change.

Study the influences on falling liquid films over wavy heated surfaces.

This article examines how particles influence fluid behavior near surfaces.

RKGC improves accuracy and consistency in fluid simulations using SPH.

Study reveals how textured surfaces affect fluid movement and flow dynamics.

We develop methods for refining models using noisy and indirect observations.

Introducing a new method for better solutions in complex engineering and robotics tasks.

Explore the robust instability radius and its significance in control systems.

Grain size impacts material properties and performance in engineering applications.

Research on solitons reveals new applications in versatile materials.

An overview of Sadovskii vortex patches and their significance in fluid dynamics.

New materials improve light management in diverse technologies.

A new tool aids in studying fluid behavior under shock conditions using machine learning.

Study of how thick reaction zones impact flame behavior in narrow channels.

Study highlights Joule heating's role in heat transfer and entropy generation in MHD flows.

Researching energy stability in crystal simulations enhances material behavior predictions.

Exploring new methods for understanding fluid movement in porous materials.

Study reveals properties of BaIrGe, a promising superconducting material.

A new approach to analyzing fluid dynamics using MRI data.

Exploring the dynamics of fluid movement in porous materials and its implications.

Research on moment methods enhances understanding of particle behavior in gases.

Examining the role of BLMMSE estimators in improving MIMO channel estimation.

This article examines how liquid moves in shaken cylindrical containers.

A look at fluid dynamics and the transition from order to chaos.

Researchers develop methods to simulate particle movement and interactions accurately.

Research reveals how sound interacts with shear layers in high-speed fluids.

New frameworks for efficient modeling of complex networked systems in electrified vehicles.

A fresh model explains how living polymers respond to stress.

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.