Predicting Catalyst Activity with LQMs | AQCat Explained Part 3/4

What’s the engine driving AQCat? Large Quantitative Models (LQMs). Trained on massive proprietary datasets, our LQMs achieve a 99% reduction in compute time relative to first-principles methods (without sacrificing any of the high-fidelity physics). Watch how AQCat uses this data to run full microkinetic modeling simulations, delivering an instant performance map of catalyst activity, selectivity, and stability. Watch part 4 for more! Subscribe to @SandboxAQ for more Shorts on AI and quantum tech. Watch the full AQCat webinar here: https://youtu.be/MfgG_LNVkSM Keep up to date on AQCat at our website: https://www.sandboxaq.com/solutions/material-discovery #SandboxAQ #AQChemSim #DataScience #TechInnovation #QuantumComputing #PredictiveAnalytics #ChemicalR&D #Catalysis