Webinar:
Accelerating Materials Discovery: Launching AQCat25-EV2
Co-Presented with NVIDIA
Join experts from SandboxAQ and NVIDIA for the official launch of AQCat25-EV2, a groundbreaking Large Quantitative Model (LQM) that enables high-throughput, high-accuracy virtual screening across the entire periodic table for catalyst discovery.
In this joint webinar, you'll hear the technical details and see how this breakthrough was achieved on NVIDIA DGX Cloud.
Date: November 5th, 10:00–10:30 AM PT
Agenda Highlights:
- Why AQCat25? Successes and Limitations of Existing Models for Heterogeneous Catalysis
- Overview of the AQCat25 Dataset: Introducing Spin and Fidelity Shifts
- Training Strategy and Model Results for AQCat25-EV2
- The essential role of the NVIDIA DGX Cloud Solution Stack in enabling this model and data development
The AQCat25-EV2 model predicts energetics with accuracy approaching physics-based quantum methods at speeds up to 20,000x faster than traditional lab methods, fundamentally de-risking R&D for applications in clean energy, chemical production, and more.
Don't miss this opportunity to see how the AQCat25-EV2 model is set to revolutionize materials innovation.