Latest Articles for Engineering

This article examines topological defects, specifically solitons, and their impact on material properties.

This study explores flow patterns around high-speed trains to enhance aerodynamic design.

A study on using deep reinforcement learning for better flow control in structures.

A guide to balance laws and their applications in different disciplines.

New methods automate the discovery of constitutive laws for hyperelastic materials.

Examining how thermal noise affects turbulent fluid flows.

A new method simplifies complex multiscale problems using gradient descent.

A new method enhances control of complex systems using data-driven techniques.

A comprehensive look at spectral inclusion sets in mathematical operators.

Research reveals how ferrofluid can effectively lower drag in water flows.

An overview of composite materials and their impact on engineering applications.

A new method improves efficiency in studying microstructure changes in materials.

Explore the principles of movement, forces, and their real-world applications.

Exploring the unique properties and applications of helicoidal surfaces in geometry.

Learn methods for effective solutions in convex nonsmooth optimization.

A new model enhances timing analysis for effective digital circuit design.

A new method combines neural networks and domain decomposition for solving complex PDEs.

Learn how mixed methods aid in finding lower eigenvalue bounds.

Exploring fractional derivatives and their computational methods for accurate modeling in various fields.

A study on weak solutions for compressible non-Newtonian fluids and their behaviors.

Exploring new methods to enhance Model Predictive Control with deep learning techniques.

Research on nonlocal symmetries and PDEs leads to significant insights in science.

Introducing a score-based solver for complex high-dimensional problems.

A new control system enhances legged robot movements and performance.

DART automates radar image creation for improved accuracy and efficiency.

A look into the challenges and solutions for integrating digital engineering tools.

AnisoGNN uses AI to predict polycrystalline material properties with less data.

Exploring how fuzzy logic improves mobile robot movement and decision-making.

A new tool improves detection of low-energy gamma rays from cosmic events.

A study on estimating velocity fields from stochastic partial differential equations.

A look into discrete surfaces and their roles in geometry, art, and design.

Innovative methods improve how robots process sound direction while in motion.

Improving methods for solving Navier-Stokes equations with noisy data.

Study reveals new scaling laws for turbulent flows affecting velocity and temperature.

Discover how neuromorphic photonic computing can enhance AI efficiency and speed.

New strategies improve speed and efficiency in constructing reduced-order models for complex systems.

Leveraging the Douglas-Rachford algorithm for effective optimal control problem-solving.

An overview of nodal domains related to caloric polynomials and their properties.

New methods enhance accuracy in measuring asphalt pavement thickness using GPR technology.

Explore how tensor neural networks tackle complex high-dimensional equations in various fields.