基于自适应量子势的计算模型

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel computational model based on adaptive quantum potential (AQP) that leverages the dynamic nature of the quantum potential to achieve precise modeling and simulation of complex systems. Traditional computational models often rely on fixed parameters, limiting their ability to accurately represent and simulate intricate systems. The proposedAQP model dynamically adjusts parameters based on the quantum potential's non-linearity, enabling automated parameter refinement and significantly enhancing computational efficiency. We present a framework for constructing and utilizing this model, demonstrating its efficacy in simulating various complex systems, including [Specify a few example systems, e.g., molecular dynamics simulations, materials science problems, and chemical kinetics]. This work contributes to the advancement of computational chemistry and materials science by providing a robust and adaptable method for modeling dynamic systems.

DOI: 10.5281/zenodo.22295974

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