Latest Articles for Engineering

Research on fractional differential equations reveals new insights into dynamic systems.

Combining Bayesian updating and surrogate modeling for improved model parameter estimation.

Explore the significance of the Saint Venant operator in tensor field analysis.

A novel approach to determine stability boundaries in dynamic systems efficiently.

A look into how computers maintain accuracy despite component failures.

Exploring L-NODEC for better stability in control strategies.

A hybrid approach improves wave equation computations in various fields.

A new method for better understanding multi-part systems in various fields.

Introducing a new method for faster energy function calculations in nonlinear systems.

Study of charged particles in materials impacts biology, geology, and engineering.

A new method enhances detection of outliers in data analysis.

This study introduces a new model for smart beams using nonlocal interactions and piezoelectric materials.

NeuralMPM speeds up material simulations using deep learning techniques.

Innovative method enhances beam analysis efficiency and accuracy.

New research reveals phonons interact in complex ways affecting thermal properties.

Frames enhance signal representation across various fields, ensuring better clarity and quality.

R-continuity aids the Proximal Point Algorithm in finding efficient solutions.

A new method improves robot control in uncertain environments.

Researchers find promising 2D superconductors with high-temperature capabilities.

A new method enhances satellite rotation efficiency and control.

PINNs merge physics with data to solve complex scientific problems efficiently.

Researchers use data-driven methods to improve hydrogen combustion modeling.

Exploring advanced models for synchronization in complex adaptive networks.

Introducing DroneWiS for improved drone testing in windy conditions.

A method to determine solid shapes inside tanks through liquid level changes.

New methods enhance the prediction of melting temperature for material development.

This article discusses improving offshore wind turbine foundations using structural health monitoring.

Exploring how granular materials respond to growth and stress changes.

A new method improves efficiency and safety in humanoid robot movements.

A study of particle dynamics using the stochastic six-vertex model reveals key behaviors.

Combining high-throughput experiments and machine learning to improve additive manufacturing processes.

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.