Latest Articles for Engineering

Introducing efficient control methods for large-scale systems using distributed observers.

A method for accurately calculating eigenvalues and eigenfunctions in complex problems.

A look into resonance's role in controlling particle behavior.

Exploring the role of Bayesian Neural Networks in turbulent flow prediction.

Robots improve pushing tasks by better handling uncertainty during object manipulation.

A method to manage complex systems effectively when parameters are not fully known.

A study on how disorder affects superconductivity in SrRuO3.

The ROBUST dataset helps researchers address software issues in robotics.

Explore the fascinating behavior of bubbles in viscous fluids.

BSS method improves fluid flow simulations by accurately capturing shocks and turbulence.

New methods improve understanding of nonlinear systems and their observability measures.

A new method for improving control in complex systems using MR-ARL.

This study examines methods to identify heat sources from limited measurements.

A model enhances the understanding of electrolyte movement in porous materials.

Learn to improve optimization using simpler models combined with high-quality data.

Exploring how symmetrical designs improve robot movement and efficiency.

Researchers enhance combustion simulations through AI and GPU integration.

This study analyzes how light interacts with layered materials.

A look into random matrices and their applications in various fields.

Analyzing hardware and software for efficient quantum computing solutions.

Learn how STPA and LTL create safer systems.

New methods improve solutions for complex equations using diffusion models.

Research focuses on reducing injuries from sharp tools in human-robot collaborations.

A new method to speed up Stateflow model repair and reduce costs.

This article reviews methods for solving inverse problems in fluid dynamics.

A look into the behavior of viscoelastic materials when deformed.

Learn how PINNs combine deep learning with physics for efficient problem-solving.

Examining polynomial maps and their crucial roles in various fields of study.

Fmm LuHN shows promise for superconductivity at near-room temperatures.

Methods for improving solution processes near complex mathematical singularities.

New models improve predictions for complex granular flows in various settings.

An overview of vibrational resonance and its applications across different fields.

A look at new methods for analyzing gas flows, focusing on non-ideal gases.

This article examines how particle shapes influence their assembly behavior.

An insight into how regularity shapes movements and structures in mathematics.

GATlab simplifies mathematical modeling for researchers and engineers.

This study examines how different forces affect sliding and rupture dynamics.

This research evaluates strategies for managing complex systems under uncertainty.

A look into how noise impacts signal detection in technical systems.

This study explores the behavior of shock waves in compressible fluids over time.