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apmannino.bsky.social
Aurora Unified Energy Systems
@apmannino.bsky.social
3 followers 41 following 31 posts
Aurora / Helio-8 — equilibrium/coherence systems. Posting open experiments, metrics, diagrams, and prototypes (optics • quantum circuits • fluids • control). Building in public; peer critique encouraged.
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apmannino.bsky.social
Thoughts??
February 11, 2026 at 4:29 PM
apmannino.bsky.social
Quantum Stabilization Dynamics.
February 10, 2026 at 6:38 PM
apmannino.bsky.social
Quantum Stabilization Dynamics (QSD): a measurement-first way to certify when a driven system actually enters a stable transport regime.
If you’ve got a clean public dataset (quantum runs, cavity ringdown, turbulence, etc.), I’ll try QSD on it.
#Quantum #Physics #OpenScience #arXiv #QSD
February 10, 2026 at 12:32 AM
apmannino.bsky.social
Driven systems often hide a narrow stability corridor:
I’m mapping where the snap happens using measurement-first tests.
Does anyone have a clean, complete dataset worth stress-testing this on?
#NonlinearDynamics #ComplexSystems #Quantum #OpenScience
February 9, 2026 at 12:04 PM
apmannino.bsky.social
Working note from my Aurora framework: when a control parameter is swept, some driven systems don’t improve smoothly — they snap into a stable corridor.The goal is measurement-first!

#AuroraFramework #Coherence #Stability #ComplexSystems #Physics #ControlTheory #DataScience #Falsifiable
February 6, 2026 at 10:33 PM
apmannino.bsky.social
stability is measurable from records alone, then organized transport isn’t mysterious—it’s detectable.

Working toward a single falsifiable framework for that boundary.

#Physics #NonlinearDynamics #EnergyTransport #Research
February 5, 2026 at 6:01 PM
apmannino.bsky.social
Light does not stay ordered by default.
It disperses. across systems, stable transport only appears inside a narrow control corridor—outside it, coherence collapses and loss dominates. We’re mapping where that corridor exists!

#Photonics #LightPhysics #NonEquilibrium #AE0
February 4, 2026 at 6:53 PM
apmannino.bsky.social
Ordered light requires constraints.
Free propagation maximizes entropy; coherence persists only inside narrow stability corridors set by geometry and phase locking.

#physics #photonics #coherence #waveDynamics #structure
February 3, 2026 at 7:46 PM
apmannino.bsky.social
Sweeping the control parameter reveals a sharp boundary between a dispersive regime and a stable regime that remains robust under time evolution and reinitialization. Outside the stability band, the ordered dynamics decay quickly. #Photonics #QuantumSystems #Coherence #ExperimentalMethods #Physics
February 2, 2026 at 12:53 PM
apmannino.bsky.social
the missing link isn’t new physics — it’s recognizing when known physics becomes organized.
Phase stability + resonance compatibility create a narrow “locked” region.
Measure it. Map it. Widen it. That’s the practical road to higher efficiency in light-mediated tech.
January 30, 2026 at 3:02 PM
apmannino.bsky.social
Is it possible light structures reality—and the missing “proof” is simply learning how order emerges when systems are driven toward equilibrium (AE=Ø, ΔE→0)? If so, ancient sound+light architecture might have been applied physics, not myth.
#AE0 #Light #Resonance #Physics
January 29, 2026 at 2:00 PM
apmannino.bsky.social
New paper proposing a measurement for “organization onset” in driven systems. The focus is falsifiable tests + anti-artifact controls, not hype. If you work in nonlinear dynamics, control, quantum, or photonics and want the PDF, DM me.
#Science #NonlinearDynamics #Control #QuantumTech #Photonics
January 28, 2026 at 12:06 PM
apmannino.bsky.social
I think a lot of “breakthrough moments” in tech are the same phenomenon: systems crossing a measurable threshold where order suddenly dominates noise.

I’m trying to formalize that into a reproducible workflow + tests.
#ComplexSystems #NonlinearDynamics #Physics
January 27, 2026 at 1:14 PM
apmannino.bsky.social
Measurement-first energy push 🇺🇸⚡️
Across systems, I’m seeing a repeatable stability-onset threshold: when mismatch (ΔE/σφ) drops into a narrow corridor, the lock index (Λ) rises and losses collapse.
Open, falsifiable: forward/reverse
#Science #Engineering #Energy #Photonics #ControlSystems #OpenData
January 23, 2026 at 4:55 PM
apmannino.bsky.social
Replication-first preprint: stability corridors → “snap” into coherence when mismatch (ΔE / σφ / disorder) crosses a narrow band.
Sharing protocols + falsification tests + scripts so others can try to break it.

#Physics #Photonics #ControlSystems #Quantum #OpenScience #Reproducibility #Preprint
January 22, 2026 at 7:25 PM
apmannino.bsky.social
If “snap” is real, it should show up in your logs: sweep a mismatch knob, compute a lock index, look for a sharp transition + hysteresis.
I’m releasing scripts + falsification protocol with the draft.
#reproducibility #openscience #physics #systems
January 20, 2026 at 5:40 PM
apmannino.bsky.social
Need help testing this ASAP.
Sharp “snap-wall” threshold at ~22.48° — coherence locks / loss collapses. If real, it changes everything.

github.com/apmannino-de...

#OpenScience #Physics #QuantumComputing #NonlinearDynamics #Replication #ControlTheory
January 19, 2026 at 12:40 PM
apmannino.bsky.social
Holy Moly! Is this “light speed” or something else that looks like it? 😳I need independent replication + interpretation (physics/quant/control folks). If it’s real, it’s big. If it’s wrong then it’s not we still learn.

drive.google.com/drive/folder...

#OpenScience #Physics #Quantum
January 17, 2026 at 11:29 AM
apmannino.bsky.social
Assistance needed ASAP.
I’m asking the community to help verify/replicate a result I’ve confirmed on real systems. If it’s correct, the impact is massive.
If you can test independently, please DM.

#Science #OpenScience #Replication #Physics #QuantumComputing #Engineering #EnergyTech #Research
January 16, 2026 at 1:48 PM
apmannino.bsky.social
I’ve got a repeatable “snap corridor” signature (knee around ~22.48°) showing sudden stability/efficiency jump across multiple models. I’m publishing the full methods + code—need independent replication. Who wants to test it?
#OpenScience #Reproducibility #Quantum #SystemsEngineering #AppliedPhysics
January 15, 2026 at 10:46 PM
apmannino.bsky.social
🚨Need assistance ASAP. If anyone can help test/replicate, please reach out. If this is correct, it could be a game changer overnight for humanity.

drive.google.com/drive/folder...

#OpenScience #Replication #Physics #Engineering #Research #Innovation #Energy #Tech #Experiment
January 15, 2026 at 11:36 AM
apmannino.bsky.social
What would you do if we woke up tomorrow with unlimited, free, clean energy? End water scarcity, power every home/hospital, reboot manufacturing w/ zero pollution Real question: what changes first—tech or politics?What do you build on Day 1?

#CleanEnergy #FutureTech #Climate #SciTech #Energy
January 14, 2026 at 10:37 PM
apmannino.bsky.social
Project Helio is a phase-transition in stability: below a threshold, behavior is noisy/high-loss; above it, dynamics collapse into an ordered corridor, a measurable transition corridor & you get more signal, less waste, more repeatability.
#openscience #physics #optimization #quantum #projecthelio
A simple S-curve chart showing a stability/efficiency transition. The x-axis is ‘Mismatch / Disorder (ΔE)’ and the y-axis is ‘Useful Transport / Efficiency.’ A blue curve stays low in a shaded ‘Diffuse / Waste-Dominated’ region, then rises sharply at a marked threshold around ≈22.48 into an ‘Axis-Locked / Low-Loss’ regime. Three stacked plots vs ‘Effective Angle.’ (a) Coherence Metric forms a broad high plateau in the center band and drops off on both sides. (b) Corridor Score shows a central ‘corridor’ region highlighted in blue with symmetric dips near the corridor edges and orange low-score regions outside. (c) Slope Magnitude (labeled ‘Order Parameter’) shows a sharp narrow spike at the transition angle, indicating the knee/phase-change point. Line chart titled ‘Snap cliff: fail_rate vs k (3 angles).’ The x-axis is k (coupling) from about 3.30 to 3.68 and the y-axis is fail_rate from 0 to 1. Three curves compare alpha = 22.30°, 22.48°, and 22.70°. For all three, fail_rate drops as coupling increases, with a sharp ‘cliff’ where failures fall toward zero; the alpha = 22.70° curve reaches near-zero at lower k than the others, and all approach zero by the highest k.
January 14, 2026 at 11:44 AM
apmannino.bsky.social
Ran the same sweep multiple times on IBM Quantum (ibm_fez) and got consistent results in the corridor region. Treating it as a reproducible engineering effect first; I’ll post the exact circuit + parameters for independent checks. #QuantumComputing #IBMQuantum #Qiskit #ReproducibleScience
January 13, 2026 at 11:22 PM
apmannino.bsky.social
Hello BlueSky. Building Aurora / Project Helio an open research framework on how complex systems “snap” into stable order. I’ll share experiments, notes, diagrams, and builds. Critique welcome. #OpenResearch #Physics #ComplexSystems #Systems

Open source Link here 👇
drive.google.com/drive/folder...
January 13, 2026 at 7:54 PM