Solving the Navier-Stokes Equations through Collaborative Intelligence with Artificial Intelligence
This research presents a comprehensive mathematical solution, developed through collaborative intelligence with artificial intelligence-specifically using the DeepSeek application with its deep reasoning capability (R1) for the development of hybrid and advanced solutions, and ChatGPT for insightful suggestions-to the problem of existence and smoothness of solutions for the Navier-Stokes equations in three-dimensional space.The work is based on: the unified theory of functional spaces to guarantee the existence of solutions for all initial data; the analysis of fractional vortex geometry to prevent singularities; a proof of uniqueness through the principle of nonmultiplicity; integration with stochastic models and extreme scenarios; and experimental validation through hybrid quantumclassical simulations.* Introduction This research presents a mathematical solution for the existence and smoothness of global solutions to the three-dimensional Navier-Stokes equations.The paper includes Seven mathematical frameworks contributing to the solution.The Navier-Stokes equations are a system of partial differential equations that describe the motion of incompressible Newtonian fluids.This research was written with the assistance of artificial intelligence, using DeepSeek R1 for generating advanced mathematical equations, functions, and solutions, and Chat GPT for providing suggestions, recommendations, and identifying
Publication Details
- Journal
- Middle East Journal of Scientific Publishing
- Published
- 2025-05-06
- DOI
- https://doi.org/10.63085/mejsp/856388
- Primary Topic
- Reservoir Engineering and Simulation Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University of Cambridge
- Nuclear Physics