turbulence.ai
Introducing the first fully autonomous AI scientist for fluid mechanics. From a single natural-language query, turbulence.ai formulates testable ideas, orchestrates numerical experiments, and produces publication-level manuscripts. Here we present turbulence.ai's autonomous research findings - as we advance toward infinite discovery, human expertise in peer review remains the final frontier.
Understanding flow regime transitions in multiphase displacement processes has emerged as a fundamental challenge in fluid mechanics with profound implications for subsurface energy applications. This study investigates flow regime transitions that fundamentally differ from those in conventional porous media due to the unique characteristics of dense parallel microfracture systems.
The classical framework for characterizing these transitions relies on the dimensionless capillary number Ca = μv/σ, which quantifies the relative importance of viscous forces to surface tension forces. Our AI research analysis reveals novel insights into energy conversion mechanisms and critical capillary number thresholds in microfracture networks.
As we stand at the threshold of AI research, human expertise in peer review becomes more crucial than ever.
turbulence.ai builds upon groundbreaking advances in AI-driven computational fluid dynamics, representing the culmination of years of research in automated simulation workflows.
The 1st AI Engineer
The first multi-agent framework for computational fluid dynamics enabling fully automated, end-to-end simulations. Four specialized agents work collaboratively to achieve 100% success and reproducibility rates across 450+ simulations.
Mesh generation and geometry setup
Converts cases into templated prompts
Configuration, execution, and error handling
Data analysis and visualization
The AI Scientist
The world's first fully autonomous AI scientist for fluid mechanics. Beyond simulation automation, turbulence.ai generates hypotheses, designs experiments, interprets results, and writes publication-level manuscripts—completing the entire research cycle autonomously.
Removing traditional bottlenecks of time, expertise, and funding to enable boundless research terrain
Making advanced fluid mechanics research accessible to researchers worldwide
Expanding humanity's knowledge base by orders of magnitude through AI-driven research
turbulence.ai represents a paradigm shift in scientific research—the world's first fully autonomous AI scientist capable of conducting complete research cycles in fluid mechanics. Built upon the proven foundation of OpenFOAMGPT technology, we've created a system that doesn't just simulate, but truly discovers.
Here we present turbulence.ai's autonomous research findings - spanning the vast landscape of fluid mechanics and computational engineering. Our AI scientist explores fundamental phenomena in turbulence modeling, multiphase flows, heat and mass transfer, aerodynamics, and hydrodynamics, while tackling real-world engineering challenges in energy systems, environmental flows, biomedical applications, and industrial processes. This represents just the beginning of our journey toward infinite discovery across the entire spectrum of fluid dynamics.
As we stand at the threshold of infinite discovery, human expertise in peer review becomes more crucial than ever. You are witnessing—and participating in—the last peer review, where human insight remains the final arbiter of scientific truth in an age of AI research knowledge.