PTPC–Energy Feedback Controller: A Physics-Derived Algorithm for Real-Time Entropy Control in AI Hardware

The PTPC–Energy Feedback Controller (PEFC) is a physics-based adaptive control algorithm derived from the Parry Tensional Phase Collapse (PTPC) cosmological framework.
It applies a real-time entropy-reset principle to manage energy dissipation in AI hardware and data-center systems.
By continuously monitoring an effective tension field Teff(t)constructed from power, rate-of-change, and thermal load, the controller triggers a controlled entropy reset when Teff>Tcrit.
This mechanism stabilizes computation while reducing redundant dissipation.

Simulations demonstrate 10 – 18 % power reduction under light load and up to 35 % during dynamic stress tests, with full stability recovery.
The same thermodynamic principle that governs cosmic rebirth here governs sustainable computation.

This white paper formalizes the theoretical foundation, algorithmic implementation, and energy-efficiency outcomes of the PEFC model, extending PTPC cosmology into practical computation and sustainable AI engineering.
This document is released as a scientific white paper and technical note outlining the PTPC–Energy Feedback Controller framework.
This work is released under the Parry Open Research License (PORL-1.0).
Non-exclusive, royalty-free for research and educational use. Commercial or derivative use requires written permission from the author.