Latest Articles for Engineering

Exploring wave interactions and weak solutions in particle dynamics.

A look into elastic waves, their behaviors, and key challenges in analysis.

A detailed look at solving elastodynamic problems in nonconservative systems.

A look into how toroids create and affect magnetic fields.

A method for risk-neutral optimization in uncertain environments.

Deep learning models enhance beam steering efficiency in particle accelerators.

Combining Parareal and neural networks offers a quicker way to solve ODEs.

Study reveals how magnetic fields control grain boundaries in electronic materials.

An overview of how granular avalanches behave in different environments.

Combining physics and deep learning to improve material behavior modeling.

An overview of gradient flows and their significance in various fields.

Examining complex equations in fluid dynamics and their implications.

A new approach to quantify risks in systems with uncertain parameters using Gaussian mixtures.

Researchers use optimal control theory to manage active nematic materials effectively.

A new model identifies connections in electrical engineering drawings more effectively.

Delay PDEs offer insights into systems affected by time lags across various fields.

Neural networks enhance solutions for complex partial differential equations.

Discover how tension in elastic sheets leads to unexpected movements and applications.

A look at how fluids and structures influence each other across various fields.

A new method enhances the study of constrained systems in Hamiltonian dynamics.

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

This study presents a new method for enhanced fluid flow modeling using machine learning.

Exploring the role of superconducting nanobridges in advanced applications.

An overview of flatness-based control and its impact on complex systems.

New designs in transducers promise better quantum information transfer.

Exploring the behavior and implications of rotating turbulence in fluid systems.

Explore how matrix recurrence relations impact stability in various fields.

A new Bayesian approach enhances modeling of complex systems and their dynamics.

A look at how new modeling techniques improve understanding of interconnected systems.

New method enhances measurement of optical fields in three-dimensional space.

Exploring the link between Toda lattice dynamics and minimal surfaces in mathematics.

Using neural networks to improve the design of 3D-printed shells for better performance.

This research explores how layered magnetic materials respond to external fields.

Innovative techniques improve efficiency in studying hyperelastic materials and their applications.

MEDEA streamlines antenna beam pattern modeling for radio astronomers.

A method to help diverse agents work together effectively in uncertain environments.

Textile hinges improve flexibility and movement in mechanical metamaterials.

Researching how to learn operators and handle errors effectively in function spaces.

A new approach enhances predictions of dynamic systems by incorporating memory.

This study assesses VLMs for traffic congestion, crack detection, and helmet compliance.