Nicolas Brian Quiroz, MD

Independent researcher and inventor working on plasma control, advanced materials, and fractal HRV systems.

Key Evidence

Current work includes real tokamak validation, open-source implementation, and patent-pending simulation platforms for long-horizon control.

Real EAST #41195 Validation
Ψ_universe attractor outperforms classical methods on actual tokamak data

Open-Source on Zenodo & GitHub
Full code, benchmarks, and Lyapunov proof freely available

U.S. Patent-Pending
Q108D simulation platform with control-assisted latent-space stabilization

My Approach

My work focuses on practical, evidence-oriented systems that translate theory into usable tools.

View Research → Explore Apps → ECHO SIGNATURE™ → Connect

Core Research Domains

  • Tokamak plasma control & attractor-based stability modeling
  • Fractal physiology & HRV signal processing
  • Multifunctional composite design architecture
  • BEP extensions and predictive systems
  • Digital health innovation

Ψ_universe Attractor Library v2.0

Modular Python library implementing the Ψ_universe toroidal attractor filter. Validated on real EAST #41195 tokamak data with full benchmark suite.

View on GitHub →

Zenodo • DOI: 10.5281/zenodo.18939068 (March 10, 2026)

Open-Source Research Repositories

Libraries and frameworks published under the BEPframework organization on GitHub.

psi-universe-attractor Modular Python implementation of the Ψ_universe attractor filter — validated on real EAST #41195 data
tasd-core TASD Core Framework — Toroidal-Attractor Signal Dynamics engine
tasd-framework TASD Unified Framework — Toroidal-Attractor Signal Dynamics (open-source release)
toroidal-dynamics-toolkit Modular Python toolkit for dynamic toroidal modulation in frequency-domain signal processing

Foundation

MD (Universidad Autónoma de Guadalajara) + Chemistry background (Fresno State) + surgical internship. Independent researcher developing practical technologies under IZ LLC.

Interactive Apps & Tools

Browser-based research instruments and interactive simulations — no installation required. Built for exploration, education, and scientific communication.

String Theory Cosmos v2.0

Deterministic toy model of string/M-theory and cosmology with Ψuniverse fractal dynamics, live analysis dashboard, parameter sweeps, and exportable data.

String Theory Ψuniverse HTML
GitHub

Q216D Tokamak Simulation

TASD-enhanced interactive 3D plasma visualization with ultra-precise energy transition control for tokamak research.

Tokamak 3D Plasma TASD
GitHub

BEP Field Lab

Interactive research tool for testing Belonging–Energy–Prediction field dynamics with uploaded CSV/Excel data.

BEP Framework Data Analysis HTML
GitHub

ECHO SIGNATURE™

A human potential assessment platform grounded in BEP Field Theory — measuring Belonging, Energy, and Prediction dynamics. Generates bilingual archetype profiles with radar chart visualization and PDF export. Built for educators, clinicians, and researchers.

BEP Field Theory Human Potential EN / ES Production
Contact for Access

View all repositories on GitHub →

Featured Preprints

View all 19 preprints on Zenodo →

Full ORCID: 0009-0003-8431-0048

THE FOURTH FIELD (2026)

Belonging, Energy, Prediction — and Artificial Intelligence

What happens when artificial intelligence enters the deepest architecture of the human mind? Building on the BEP Principle — Belonging, Energy, and Prediction — this book examines AI not as a simple threat or savior, but as a mirror, amplifier, and structural partner to human consciousness.

Blending medicine, neuroscience, psychology, predictive processing, ethics, and philosophy, The Fourth Field explores how AI may reshape relationships, education, medicine, law, governance, and identity — and asks one urgent question: will AI deepen human fragmentation, or help humanity reclaim coherence?

Buy on Amazon →

THE BEP PRINCIPLE (2025)

How the Brain Chooses Story Over Truth (and When It Doesn't)

Independently published • ISBN 979-8273171619

Why do intelligent people believe falsehoods? Why do societies prefer comforting stories over uncomfortable truths? At its core lies the BEP model — Belonging, Energy, and Prediction — a synthesis of neuroscience, psychology, and social science revealing how truth-seeking is not our natural state but a conditional luxury. When energy is depleted or belonging is threatened, the brain defaults to coherence over accuracy.

Drawing from medicine, education, and technology, Dr. Quiroz explores how modern life manipulates these defaults — and offers a roadmap for designing classrooms, clinics, platforms, and communities that restore the conditions for epistemic courage.

Buy on Amazon →

Patent-Pending Inventions

  • Q108D Tokamak Simulation Platform
    Control-assisted latent-space stabilization for energy transition management — Provisional filed Jan 2026 (non-provisional April 2026)
  • Multifunctional Composite Material — US20260022228A1 (filed July 18, 2024)
  • Method and System for Heart Rate Variability Analysis Using Fractal and Quantum-Like Dynamics — U.S. Application No. 19/228,748 (filed June 5, 2025)

All inventions filed under Nicolas B. Quiroz, MD • U.S. applications pending

Connect & Collaborate

Open to collaboration with plasma physicists, control engineers, materials labs, and research partners.