Latest Articles for Fluid Dynamics

Learn how unrolling improves neural network training for physical simulations.

Fractional calculus expands mathematical tools for complex system modeling across various fields.

Exploring turbulent flows and their impact on various natural and industrial processes.

New methods enhance predictions of complex systems using data-driven reduced-order models.

Learn how PINNs combine deep learning with physics for efficient problem-solving.

New methods provide solutions to complex functional differential equations in science.

A look at using P-ERK methods for efficient fluid dynamics solutions.

BHAC-QGP simulation tool enhances understanding of heavy-ion collisions and quark-gluon plasma.

A new framework improves prediction accuracy in fluid dynamics.

Insights into the behavior of turbulent fluid dynamics and their implications.

A numerical framework to analyze the behavior of phoretic particles in fluid environments.

This study links gravitational shockwaves to fluid mechanics, exploring their effects on spacetime and light.

A new method enhances machine learning models for transport phenomena predictions.

Exploring the effects of mechanical stress on fluids in tiny materials.

How convection and thermal effects influence plate interactions and supercontinent formation.

AI models enhance predictions in fluid dynamics, improving accuracy across various applications.

Exploring the role and challenges of microfluidic control valves.

A new approach reduces diffusion effects at boundaries in fluid studies.

Research focuses on improving designs in fluid dynamics through topology optimization techniques.

A novel approach to simulating how solids interact with fluids during contact.

Learn about WENO methods and their applications in handling discontinuities.

A new framework combines deep learning with physics to improve PDE predictions.

A study on AI-generated images of fluid motion reveals accuracy concerns.

Learn how spectral theory applies to infinite dimensional spaces and real-world systems.

Learn about vortex-induced vibration and its impact on structures in fluid environments.

Discover the role of operator learning in advancing data-driven predictions across various fields.

Learn how modern techniques speed up wave problem solving.

GIOROM offers faster simulations for fluids and materials using sparse graph techniques.

Learn about microswimmers and their unique interactions with fluids and surfaces.

Combining classical and quantum computing to improve fluid dynamics simulations.

A deep dive into fluid dynamics and conservation laws.

A machine learning method predicts fluid flow stability for better designs and processes.

This study models straight and circular swimmers in fluid dynamics.

A deep dive into the significance of bounded solutions in elliptic equations.

Research refines model connections in nuclear collisions for better predictions.

Exploring connections between quantum mechanics and fluid dynamics offers new insights.

A study on fluid dynamics in elastic porous materials with real-world applications.

New techniques improve fluid flow understanding in engineering and nature.

A new dataset provides valuable insights for fluid dynamics research in automotive design.

Research reveals how droplet behavior in fluids mimics quantum mechanics.