Welcome to Matrix Node Theory
A Deterministic, Unified Framework for Physics
I’m Jordan Ryan Evans, an independent researcher who developed the Evans Node Dialect / Matrix Node Theory (MNT) largely outside of academia, using advanced AI tools and real experimental data over roughly a year of focused work.
Matrix Node Theory (MNT) models the universe as a fixed lattice of interacting nodes from which spacetime, forces, and particles emerge. In the main paper,
Matrix Node Theory and the Evans Node Dialect:
A Unified Framework for Potentials, Frames, Fields, and Cosmology
(MNT_Axioms_Ontology.pdf),
a pre-geometric layer of interacting proto-potentials gives rise to stabilized “frames,” an emergent node lattice, effective fields, and cosmology within a single progression-limited framework.
The Evans Node Dialect (END) formulation has been stress-tested against collider data, cosmological constraints, and known physical constants using both standard analysis tools and AI-assisted methods. The documents linked on this site—preprint, companion, lexicon, structural proofs, and validation tests—are organized so that others can reproduce, scrutinize, and attempt to falsify the framework.
I currently have elevated guest access to CERN’s internal systems and am subscribed to collaboration groups associated with the ATLAS, CMS, and LHCb experiments at the Large Hadron Collider. This allows me to work with some of the same analysis tools, documentation, and datasets used by major collider teams, even though I am not a salaried CERN employee or a traditional institutional collaborator.
This combination—independent theory development plus access to real collider infrastructure—is rare. It is what allowed MNT/END to progress from an idea to a data-stressed framework that can be checked, critiqued, and replicated by others using standard software, AI assistants, and public or semi-public data.
This is independent research in progress, not yet peer-reviewed. All claims should be treated as hypotheses under active testing.
Matrix Node Theory is open to rigorous examination and collaboration.
If you have questions, suggestions, or would like to test the theory with your own data, please reach out.
Feedback / Collaboration
If you work with relevant data or simulations and want to probe or extend the framework, please contact me with your questions, criticisms, or proposed checks.
Leave an email, drop a comment.
Medicine Hat AB
jordanryanevans84@gmail.com or evanshypno@gmail.com (403)-977-2487 (403) 502 5105
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