Latest Articles for Engineering

Learn how particle sizes influence grain growth in various materials.

Examining filament dynamics for insights into biological processes and engineering applications.

This article examines methods for safe operation in complex systems.

A look at the methods and challenges in guiding robots through complex environments.

Using neural networks to efficiently solve complex partial differential equations.

This study examines how surface textures influence turbulence and drag in fluid dynamics.

A novel approach streamlines solutions for nonlinear tensor differential equations efficiently and effectively.

DPSynth uses dynamic programming for efficient boolean function synthesis.

This article discusses a method for robots to push objects together efficiently.

An overview of PDMS surfaces and their interaction with liquids.

A new method for better control of rigid body interactions during collisions.

A new approach enhances how machines adapt to changing environments.

This study simplifies turbulence using velocity gradient tensor networks.

HfN films show promise as a gold alternative in advanced applications.

This article clarifies the behavior of irrotational shocks in fluid flow.

New techniques improve vortex pinning in superconductors for better performance.

A method that improves approximation of mathematical models using neural networks and finite elements.

A look at invariant foliations and their role in understanding complex systems.

Exploring methods to improve quench detection in superconducting cavities with superfluid helium.

A look into how cracks develop and interact in various materials.

New methods improve reachability in high-dimensional systems across various fields.

A new method using Bayesian networks enhances system identification and prediction.

Examining how small solutions influence larger systems in elliptic equations and spectral estimates.

A new method for creating diverse and efficient architecture designs.

Researchers combine chirality and chaos to enhance sensor sensitivity.

A look into how particles move through materials and the effects of loss.

New quantum algorithms improve kinetic energy estimation in complex mechanical systems.

A look into how changing boundaries affect fluid behavior.

Simformer improves inference methods by addressing challenges in simulation-based analysis.

Analyzing turbulence through numerical methods for improved accuracy and insights.

Examining how temperature and stress influence amorphous solids’ flow behavior.

This article discusses the benefits of hybrid high-order methods with geometric multigrid for solving linear systems.

This article discusses communication strategies for cyber-physical systems, focusing on pull and push methods.

Exploring tensor neural networks to improve solutions in complex multiscale scenarios.

Discover a powerful solver for tackling complex nonlinear equations in various fields.

Learn how simpler functions can help analyze complex data effectively.

Combining scattered and regular nodes improves accuracy in complex problem solving.

Combining energy flow models and neural networks for better predictions.

A look at the significance of affine equivalence in curves.

A new method uses data to stabilize fluid flow past a cylinder.