Collaborate
MPFST is open. The code is public. The data sources are cited. The predictions are concrete. Whether you want to test it, challenge it, or extend it — here's how.
Test a Prediction
Every paper makes a specific, falsifiable prediction using α = 6/5. If you have access to experimental data in any domain — condensed matter, particle physics, astrophysics, biophysics, plasma physics — you can test whether the fractional Laplacian with this exact exponent outperforms the standard theory.
Especially valuable: domains NOT yet tested. Turbulence, seismology, financial time series, quantum chemistry, nuclear structure, superconducting circuits, or any system governed by a Laplacian operator.
The test is straightforward: run your analysis with α = 2 (standard) and α = 6/5 (MPFST). Compare fit quality. Report whatever you find.
Challenge the Framework
The strongest possible test is one designed to BREAK the theory. If you can find a domain where α = 6/5 is definitively excluded by high-quality data, that's a significant result.
Constructive challenges focus on: Is α truly 6/5, or is there a better fit nearby? Paper 24 derives the topology from three axioms — can the uniqueness proof be strengthened? Are the statistical tests robust to different analysis choices?
Destructive challenges: Find a domain where MPFST makes a clear prediction that fails. That would be more valuable than 10 papers showing it works.
Extend to New Domains
The papers cover 30 domains so far. But any physical system with a Laplacian is a candidate. Some promising untested domains:
- Turbulence intermittency in fluid dynamics
- Anomalous heat transport in nanoscale systems
- Quantum chemistry — molecular orbital calculations
- Seismology — wave propagation in heterogeneous media
- Financial physics — option pricing with fractional diffusion
- Network science — anomalous spreading on real-world graphs
- Acoustic metamaterials — fractional wave equations
Computational Projects
Several computational questions remain open:
- Larger-scale universe simulations — what structures emerge from the coupled PDE on cosmological grids?
- Machine learning: can a neural network rediscover α = 6/5 from multi-domain data?
- Optimizing the eigenvalue: does 6/5 sit at a special point in the space of possible graph topologies?
- Connecting to quantum gravity: does the fractional Laplacian produce the right spectral dimension running?
Discuss & Engage
The best way to engage is through the work itself. Read a paper, run the code, and report what you find — whether it confirms or contradicts the predictions.
Public discussion on @FreemanCW on X is welcome. Paper-specific questions can be posted on the Zenodo record pages.
Contact
Serious inquiries from researchers, experimentalists, and theorists are especially welcome. If you have data, a code, or a counterexample — I want to hear about it.
Ask Warren — AI Research Assistant
Warren is an AI system with deep knowledge of all 28 MPFST papers, the underlying mathematics, and the experimental evidence. You can ask it about specific predictions, request explanations, or discuss potential new domains.
Talk to Warren