Latest Articles for Engineering

Examining the behavior of volume integral operators as shapes vary.

New methods enhance the accuracy of solving fractional differential equations.

A new method helps robots transport liquids without spills in challenging environments.

This study examines how different friction laws affect slip stability.

Learn about optimal control's principles, applications, and importance in various fields.

Innovative metamaterials with unique properties could transform technology applications.

Examining how shapes change over time through curvature analysis.

A new approach for detecting changes in machine learning systems for robots.

New insights on heat transfer in turbulent fluid flows.

A study on improving solutions for boundary conditions in mathematics and engineering.

Discover how Koopman operators improve robot learning and adaptability.

Techniques for simplifying mathematical models while retaining key features.

Learn about Modified Patankar methods for solving complex material processes.

Discovering easier methods to apply a key mathematical theorem.

Exploring how symmetry affects the stability of frameworks in various fields.

New method enhances modal analysis accuracy and efficiency for complex structures.

A look at multi-start algorithms for black-box optimization challenges.

New method improves efficiency in fluid simulations, enhancing prediction accuracy.

Neural networks improve design efficiency across various engineering fields.

Exploring how information engines can boost energy efficiency in technology.

New methods in lattice design improve strength while minimizing weight.

Researchers aim to create icosahedral quasicrystals from single-particle systems.

A study on wind farm wakes reveals insights for optimizing energy production.

A look at stationary flows in ideal fluids and their behavior.

SHARP-Net improves defect detection in pipes using advanced technology for better efficiency.

Exploring conditions for eigenvalues of nonnegative matrices and their significance.

Exploring the effects of time-reversal symmetry on coupled-mode interactions.

A novel method for estimating intrinsic volumes in various scientific fields.

Examining gas dynamics in less dense conditions for better predictions and applications.

This article presents a novel approach using neural networks to study complex flows.

Machine learning techniques are reshaping how we model material behavior under stress.

Exploring the performance of silicon sensors in radiation environments.

Learn how deep backward dynamic programming addresses nonlinear partial differential equations.

A new framework improves energy capture in airborne wind energy systems with flexible tethers.

Research reveals strong solutions for heat and magnetic fields in fluids.

A look into periodic solutions and their stability in dynamical systems using Chebyshev polynomials.

A new technique enhances bonding in soft robotics, addressing material challenges.

New technology enhances control of underwater robots for improved performance.

A new framework improves safety in self-driving cars through formal methods.

The NING Humanoid showcases agility and smart control in robotics.