Latest Articles for Engineering

Integrating uncertainty quantification in DeepONet enhances predictions in complex physical systems.

Analyzing temperature jumps and energy transfer in gases with multiple atoms.

Investigating the iron-magnetite interface reveals insights for material improvements.

Explore advancements in fluid flow simulations using SPH method for cavity flow.

A look at how electromagnetic waves interact with obstacles and their significance.

A lightweight robot design enhances energy efficiency and speed.

Study of rod-like particles reveals important phase behavior under varying conditions.

A new neural network, STAResNet, offers improved solutions for electromagnetic field predictions.

Examining the role of mass diffusion and gravity in Rayleigh-Taylor instability.

Study examines how inverted flags interact with flowing fluids and their energy capture potential.

This study improves active learning using derivatives for better predictions.

MPADA simplifies multi-channel antenna data acquisition for researchers and engineers.

Research reveals new methods to control superconductivity in bilayer graphene.

A new method to improve control systems under uncertainty using Distributionally Robust Control.

A method to enhance how machine learning models handle new data.

Research reveals how design impacts light movement in valley photonic crystals.

An overview of curves, square functions, and their relevance in various fields.

A look into integrable systems and their importance across various fields.

A look into semilinear parabolic problems and their implications in various fields.

Combining differential equations and data-driven models for better understanding of complex systems.

An overview of free boundary problems and their significance in various fields.

A look into reflection-symmetric graphs and their possible flexible arrangements.

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.