Dephaze – Zero-Fit Structural Framework

OSF Preprints (OSF Preprints) 2026 Preprint

Authors: angus dewer
Cited by: 0

Abstract

Dephaze is a zero-fit, non-training computational framework demonstrating structural phase behavior through sampling-based dynamics. This project aggregates code, theory, interactive demonstrations, and archival references.

Fields of Study & Subjects

Machine Learning in Materials Science Model Reduction and Neural Networks Lattice Boltzmann Simulation Studies

Publication details

Journal / source
OSF Preprints (OSF Preprints)
Publication date
1 January 2026
Document type
Preprint