A Product of Armadillo Labs
QuantArm
Machine-learned interatomic potentials predict material properties and atomic interactions at near-DFT accuracy, paired with a multi-stage screening classifier. Screen candidate superconductors in hours, not years.
Evaluating for your research group or company? Use the contact form → to request a trial.
What It Does
Point it at a material. Get a score. Know whether it's worth taking into the lab before you burn a week of DFPT.
Capabilities
Machine-Learned Phonon Emulator
Machine-learned interatomic potentials (MLIPs) designed to predict material properties and atomic interactions with high accuracy. Generates phonon spectra in seconds at near-DFT accuracy.
Multi-Stage Screening Classifier
A four-stage screening cascade — structural, phonon, coupling, and coherence gates applied in sequence — that identifies the spectral signatures associated with high critical temperatures. Each stage filters false positives and passes promising candidates deeper.
First-Principles Tc Estimation
Converts screening cascade scores into an estimated transition temperature using validated alpha2F functionals. Grounded in the same physics you'd compute by hand — just thousands of times faster.
Materials Project Integration
Query any MP material by ID or formula. Run the screening engine without ever leaving the browser. Export per-material JSON and summary CSVs.
Family-Scale Batches
Screen entire structural families — cuprates, bismuthates, nickelates, iridates — in a single batch. Results ranked by screening cascade score and walltime.
Validated Against Experiment
The screening cascade has been calibrated against known superconductors across six families. When the engine ranks a material high, the lab data agrees.
Member of
NVIDIA
Inception
Built on NVIDIA
The machine-learned interatomic potential at the heart of Quantum Armadillo is trained and served on NVIDIA accelerated compute.
GPU-accelerated inference means single-material screens run in seconds, and full structural families finish overnight.
Calibration
Validation metrics will be published with the first production release.
Request preview access →QuantArm Research — $250/mo
Full engine access. Submit any crystal, get ranked predictions in minutes. Download per-gate pass/fail matrices, phonon participation data, and full audit trails. Built-in AI research assistant explains your results and suggests next steps.
Evaluating for your research group or company? Use the contact form → to request a trial.
Stop waiting weeks for DFPT. Start screening candidates this afternoon.
Subscribe — $250/mo →