Rather than predicting material properties, generate material structures tailored to a desired function.
- Explain why the AI recommended a particular material
- Discover new scientific principles and material-design insights within the model
Radical AI
Partnering with Radical AI to Advance Materials Science With Interpretability
We're excited to announce a new partnership between Radical AI and Goodfire to fundamentally dismantle the black box of AI-driven materials discovery and design. Radical AI and Goodfire are building generative models to intelligently forge materials for a specific purpose, directly creating a material based on its desired function. Radical AI integrates proprietary AI modeling with in-house autonomous laboratory systems to create a powerful self-learning, closed-loop system for materials discovery, testing, and development. They recently announced a $55 million Series Seed+ funding round led by RTX Ventures with participation from NVentures (NVIDIA's VC arm) and other investors. Goodfire builds interpretability tools, techniques, and infrastructure to
https://www.goodfire.com/blog/radical-partnership-announcement


Seonglae Cho