Latest Articles for Engineering

This article discusses the Fekete problem and its impact on polynomial interpolation accuracy.

Exploring the importance and methods of recovery in cyber-physical systems after cyber attacks.

Exploring the link between chaotic dynamics and electrical systems for better designs.

A novel approach enhances design optimization using existing data and learned policies.

A detailed look at MAg-ES algorithm's effectiveness for solving constrained optimization problems.

This article presents an unsupervised approach for Health Index estimation across various systems.

Exploring recent developments in functional analysis and its broad applications in various fields.

Using quantum computing to enhance the identification of Minimal Cut Sets in engineering.

Discover how LaSDI transforms complex simulations into efficient models.

An overview of how electron-phonon coupling affects material properties.

A new method enhances DAE regularization techniques for better efficiency and accuracy.

Researchers aim to improve predictions of partial differential equations using Neural Operators.

Understanding uncertainty quantification methods enhances engineering decision-making.

New method enhances feature extraction for diagnosing bearing faults in machinery.

A look at new methods for calculating confidence intervals in mechanical shock testing.

Learn about methods to find optimal solutions in various fields.

Examining how internal grain orientation affects metal behavior under stress.

This article discusses the design of safe neural network controllers for critical systems.

A look into the behaviors and applications of self-similar shock waves.

Explore the significance of noncompact surfaces in geometry and topology.

This article explores spontaneous processes in non-equilibrium systems and their applications.

Research reveals complex behavior of grain boundaries in titanium using innovative analysis tools.

Exploring the principles and applications of feedback control across various systems.

A method to estimate probability distributions in uncertain systems.

Exploring the significance of irreversible processes in thermodynamics and mechanics.

A study on predicting composite material behavior using advanced neural networks.

A new approach combines machine learning and physics for better material analysis.

Learn how stochastic Volterra equations model random systems across various fields.

A look into quantum effects on material properties in 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.