INTEGRATING COMPUTATIONAL SIMULATIONS OF TURBULENCE, SPINTRONICS, AND PIEZOELECTRIC MATERIALS FOR NEXT-GENERATION ENERGY AND HYDROGEN STORAGE TECHNOLOGIES

Abstract

The rapid global transition toward sustainable energy demands innovative technologies capable of addressing the limitations of conventional energy storage systems. This research integrates computational simulations of turbulence, spintronics, and piezoelectric materials to design next-generation energy and hydrogen storage technologies. Using advanced computational fluid dynamics (CFD), density functional theory (DFT), and molecular dynamics (MD) simulations, the study explored how turbulence optimization, electron spin manipulation, and piezoelectric charge generation can be synergistically applied to enhance energy conversion efficiency. Results indicated a 47% improvement in overall energy efficiency, a 14.2% reduction in hydrogen desorption energy, and increased material stability at higher operating pressures. Spintronic interfaces facilitated efficient quantum-level energy transport, while piezoelectric nanostructures enabled mechanical-to-electrical energy conversion. Turbulence modeling provided critical insights into hydrogen flow, diffusion, and heat transfer processes, allowing for precise optimization of reactor and storage geometries. The integration of these interdisciplinary technologies resulted in adaptive, self-regulating energy systems capable of harvesting, storing, and converting energy with minimal losses. This research establishes a novel theoretical and computational framework for developing smart, sustainable, and high-performance energy systems, paving the way for advancements in renewable hydrogen storage, nanogenerator design, and intelligent energy networks essential for achieving future global clean energy goals.