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Software

AQCat Adsorption Spin

Machine-learning model for catalyst adsorption and spin-polarization analysis.

by SandboxAQ

Software
sandboxaq.com/solutions/models

Machine-learning model for catalyst adsorption and spin-polarization analysis.

Timeline

No milestones recorded for AQCat Adsorption Spin yet. The timeline fills in as unveilings, tests, contracts and deliveries are sourced.

Sources1

  1. 1.

    SandboxAQ · Supports: System

    “## AQCat Adsorption Spin AQCat is a machine learning interatomic potential, trained on 13.5 million quantum chemistry calculations across 47,000 catalyst systems, that predicts catalyst performance up to 20,000 times faster than conventional physics-based methods while approaching their accuracy. It uniquely models spin polarization for magnetic, earth-abundant metals such as iron, nickel, and cobalt, filling a data gap that leading catalyst datasets and models leave open while matching their accuracy elsewhere.”

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