Title: Non-Linear Wave Function Collapse for Material Properties

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

This paper investigates a novel approach to material property prediction using non-linear wave function collapse. Traditional material modeling often employs approximations, limiting the accuracy and expressiveness of predictions. We propose a dynamic feedback loop that iteratively adjusts wave function parameters, guided by the material's response to external stimuli, to create a self-consistent model. This method aims to move beyond static parameter adjustments, enabling a more nuanced and predictive understanding of material behavior. The core mechanism leverages the inherent non-linearity of wave function collapse to generate a more accurate representation of material dynamics. This research explores the potential of this approach to improve predictive capabilities for a range of material properties, including conductivity, elasticity, and thermal expansion.

DOI: 10.5281/zenodo.22250786

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