The Platform
Quantum Armadillo
Hard Science.
Quantum Armadillo is the first AI system purpose-built to predict superconducting materials from phonon density of states data.
How It Works
The Data Nobody Used
Every material has a phonon spectrum — a fingerprint of how its atoms vibrate. For decades, this data existed in scattered databases and buried in papers. Nobody built a systematic pipeline to connect phonon signatures to superconducting behavior. We did.
First-Principles, Not Guesswork
Quantum Armadillo doesn't guess. It runs density functional theory and density functional perturbation theory calculations from scratch — computing the phonon density of states for each candidate material on high-performance infrastructure. Real quantum mechanics, real predictions.
Pattern Recognition at Scale
Our ML engine is trained on the computed pDOS of hundreds of materials across multiple superconducting families — cuprates, bismuthates, intermetallics, nickelates. It identifies spectral signatures that correlate with high critical temperatures. Then it screens new candidates in hours, not years.
Validated Predictions
This isn't theoretical. Quantum Armadillo has screened compounds across six material families and produced validated predictions that match experimental data. When the engine says a material is interesting, we take it to the lab.
The Pipeline
Structure Generation
Candidate crystal structures sourced from databases or generated via doping and substitution of known frameworks.
DFT Relaxation
Full structural optimization using density functional theory. Every atom finds its ground state.
Phonon Calculation
DFPT computes the full phonon dispersion and density of states — the vibrational fingerprint of the lattice.
AI Screening
Quantum Armadillo analyzes the pDOS against its trained models, scoring each material for superconducting potential.
Experimental Validation
Top candidates go to synthesis and cryogenic characterization. If the math works, we build it.
Why It Matters
The world needs conductors that don't waste energy. Data centers are consuming more power than some countries. The grid loses nearly a third of all electricity generated before it reaches the end user.
Superconductors are the endgame for power transmission and distribution. The problem has always been finding the right materials. Quantum Armadillo changes the search from decades to days.
Infrastructure
First-principles DFT/DFPT engine
Scalable compute fleet
Phonon-trained prediction models
We found something. Come talk to us.
Get In Touch