Latest Articles for Engineering

Exploring methods to control and optimize interactions among diverse agents across multiple sectors.

Research explores grain boundaries' motion using pseudo-parabolic equations.

A new approach to shape optimization using neural networks enhances performance and efficiency.

A new method improves solutions to complex elliptic PDEs in engineering and science.

Discover how magnetic compressors improve timing in ultrafast electron diffraction techniques.

Explore strategies for effectively handling unpredictable systems in various fields.

This study evaluates new methods for simulating coupled nonlinear Schrödinger equations.

A new model enhances robot adaptability inspired by biological growth and response mechanisms.

This study explores how to manipulate fluid movement in defined spaces.

A look at how shapes maintain balance through centroids and equilibrium points.

A method that improves finite element analysis using arbitrary meshes.

RINO offers a new approach to solving partial differential equations efficiently.

Explore the role and applications of finite trigonometric sums across various fields.

This article examines the comparison results of Hamilton-Jacobi equations and their importance.

A new method combines SINDy and Bayesian optimization to analyze DDEs efficiently.

A superconducting detector aims to capture higher frequency gravitational waves.

Exploring high-frequency spin waves in antiferromagnetic materials for advanced data processing.

A look into how tiny particles affect friction in materials.

This paper discusses improving digital twins for reliable risk assessment and decision-making.

A new algorithm helps robots move better in tight spaces.

A new model improves efficiency and accuracy in metal rolling operations.

A comprehensive review of ontologies in Materials Science and Engineering.

HyperCAN uses machine learning to model and predict metamaterial behavior effectively.

A novel approach streamlines control design while ensuring safety in nonlinear systems.

Leveraging Large Language Models for efficient assertion generation in electronic design verification.

An overview of key mathematical ideas and their practical uses.

Discover how the Koopman Operator aids in handling uncertainty in complex, changing systems.

Study reveals how handover processes affect train communication efficiency.

Exploring how switched systems operate and their importance in various applications.

A new tool for efficient structural optimization using automatic differentiation.

Examining how magnetic fields influence electrically conducting fluids and their practical applications.

Deep learning models improve fluid flow data quality by reducing noise efficiently.

A new AI model improves flow pattern reconstruction from limited data.

This article reviews how neural networks assist in analyzing Bratu and Burgers equations.

Explores how additional terms impact solutions in the Euler-Poisson equations.

A look into special surfaces in quaternionic geometrical settings.

Learn about elliptic measures and their significance in mathematics and related fields.

Machine learning techniques offer fresh insights into unpredictable chaotic systems.

Discover how small measurable sets impact observability in the heat equation.

Exploring global smooth solutions in two-dimensional quasilinear wave equations.