Independent research by Rowan Brad Quni-Gudzinas
What computation really costs, and what it delivers.
QNFO is the independent research imprint of Rowan Brad Quni-Gudzinas. The work asks what computation really costs and delivers: energy per correct answer (Joules-per-Solution), what an AI-assisted claim is worth (ignorance audits), and what an autonomous research system actually delivers. Corrections ship as new versions of the same paper.
Selected works
The full libraryEnergy-honest computing
Epistemics of AI-assisted science
Autonomous research operations
Quni-Gudzinas, R. B. Published by QNFO. Prepared with an AI-assisted research pipeline; the author is responsible for the content.
Latest papers
Browse the library- Bosonic Barrier Penetration and the Combinatorial Landscape of Cellular Automata Models for UV‑Mediated Cellular Communication
- Thermodynamic Feasibility of Tubulin Conformational Switching as a Heat‑Free Parallel Computation Substrate
- Simulated Stability: Entropy‑Masking as an Optimal Distortion in Predictive World‑Modeling
- abc‑Uncertainty Principle Bounds on Additive Leakage of Prime Factors
- Sacred Numbers as Optima of an Ultrametric Divisibility Landscape
- p‑Adic Lift‑and‑Shift: Transplanting Elementary Calculus to the 2‑adic Tree and a Primary‑Education Blueprint
Explore
Ask the corpus
Questions answered from the papers, with citations and the knowledge graph around each answer.
Work with me
Energy-per-correct-answer assessments, reviews of AI agent operations, talks, collaboration and roles.
Ideas
Research conversations as they develop, with the questions that start them.
Archive
The library by field, feeds and the tools for finding your way through it.
iPatent
A free, private-by-default assistant for drafting US provisional patent disclosures.
License
The QNFO Unified License Agreement: open science with commercial protections.