Latest Articles for Engineering

Learn how sensitivity information boosts neural network training in engineering.

A new method improves structural design by minimizing stress effectively.

A study on optimal control methods for non-smooth systems governed by elliptic PDEs.

A simpler and more accurate approach to simulate two-phase fluid flows.

New techniques improve accuracy in analyzing nearly incompressible materials.

How grain boundaries affect the behavior of metals over time.

PDEformer-1 simplifies solving one-dimensional partial differential equations using machine learning techniques.

Introducing Closed-Loop Diffusion Control for efficient management of complex physical systems.

New approaches to tackle complex linear systems efficiently.

Explore how invariant norms impact the stability of linear systems.

Exploring continuum mechanics to understand materials on curved surfaces.

New approaches enhance machine learning accuracy in complex scientific modeling.

A flexible approach to tackle nonsmooth and nonconvex optimization problems effectively.

Exploring the new spring joint method for enhanced origami movement and applications.

ROMs streamline complex simulations for efficient engineering solutions.

Learn how data impacts wind turbine failure predictions.

Efficient modeling techniques enhance engineering design processes and reduce costs.

SuperFlow improves the design of superconducting circuits for better efficiency and performance.

HANNA offers a new method to predict activity coefficients in chemical mixtures.

A new method to create materials that can change rigidity based on their environment.

A new framework addresses uncertainty and rules in predictions through BENN.

Neural networks enhance design processes for better sound control in acoustics.

New insights into non-reciprocal behavior in diffusion can transform energy applications.

This article presents a novel approach to tackle moving interface challenges in advection-diffusion problems.

Researchers leverage data to improve control of complex systems effectively.

A look into performance-barrier event-triggered control in reaction-diffusion systems.

Active solids change shape and movement, impacting diverse fields like robotics and medicine.

RoSE-Opt automates analog circuit design for improved efficiency and reliability.

Scientists develop methods for better heat management in fusion reactors.

New insights into glass strength through studies on 2D silica and void behavior.

Explore the significance of matrices, eigenvalues, and random fields in data analysis.

Introducing methods to improve energy stability and positivity in gradient flows.

Bionic robots use learning models for better movement and adaptability.

Exploring how droplet height affects breakup and size distribution in various applications.

Exploring how foundation models improve the development of digital twins.

Advancements in deep learning offer solutions to complex mathematical problems in multiple fields.

Exploring new methods for solving nonlocal interactions in various fields.

Discover how physics-informed neural networks tackle partial differential-algebraic equations.

Learn how CANNs improve the understanding of material behavior under stress.

Research reveals the impact of friction laws on material rupture behavior.