Latest Articles for Engineering

A look into how magnets affect chiral spin-triplet superconductors.

New methods improve material behavior predictions using advanced neural networks.

New methods enhance statistical analysis of non-stationary time series data.

An overview of Brownian motion and its significance in various fields.

This article discusses conformal prediction and its role in improving model accuracy.

Twinning changes material properties under stress, impacting various applications.

Exploring chaotic behavior in the Ikeda map through dynamical systems.

New framework uses AI to enhance error detection in 3D printing.

Soft materials exhibit surprising behavior when stress is removed, involving local stresses and shear bands.

Explore the classification and unique characteristics of triangles.

The Cryogenic Distribution System is key to effective particle acceleration.

Exploring efficient matrix multiplication methods for large data sets on supercomputers.

A comprehensive look at hydrodynamics and its fundamental principles in fluid mechanics.

This study examines how airfoil movements impact lift in aviation and wind energy.

A novel approach to analyze nonlinear systems using energy functions and efficient calculations.

Quantum radar offers improved detection and measurement capabilities through unique light properties.

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.