Author: Dr. L. Vardien Askel Status: Open Research Draft Contact: [email protected]
This repository presents a theoretical–experimental framework for studying historical memory in material systems. The framework integrates multiscale correlations, historical persistence operators, statistical inference, and predictive modeling, providing a reproducible and falsifiable structure for research in materials with memory effects.
The goal is to offer a unified approach that can be explored through simulations, laboratory-scale experiments, and cross-platform comparisons, while remaining accessible to academic and scientific collaborators.
- /text/ — Conceptual manuscript detailing theoretical definitions, operational guidelines, and model structures.
- /simulations/ — Guidelines for numerical simulations, including multiscale operators, coarse-graining, and predictive kernels.
- /experiments/ — General experimental framework, data acquisition principles, reproducibility criteria, and instrumentation guidelines.
- /examples/ — Sample simulations and illustrative predictions.
Each component is designed for transparency, verification, and methodological clarity.
- Multiscale operators linking historical memory to measurable observables.
- Quantifiable tests to differentiate historical effects from emergent correlations.
- Bayesian inference and ensemble reconstruction of internal historical states.
- Predictive kernels with cross-validation and noise-control mechanisms.
- Modular and auditable framework supporting reproducibility and verification.
Protocols and structures are included to ensure replicability across independent research settings:
- Standardized data formats and metadata conventions.
- Statistical criteria for significance and error control.
- Pre-simulation pipelines for validation before laboratory implementation.
- Guidelines for reporting and documenting results.
This repository is intended for academic, educational, and collaborative research purposes. Detailed experimental protocols and sensitive parameters are available upon request for verified collaborators.
If you use or discuss this work, please cite it as:
Askel, L. V. (2025). Historical Memory in Material Systems. GitHub Repository.
This repository is a living draft. Contributions, critiques, and replication attempts from independent research groups are welcome. All experimental parameters, material specifications, and calibration procedures are intentionally abstracted in this public version for safety and confidentiality.
For technical questions, replication reports, or collaboration inquiries: [email protected]