Build intuition with introductory videos, then go deeper with technical talks from FAIR Chemistry researchers.
Why model atoms for climate?¶
This introductory series by Larry Zitnick is designed for viewers without a computational chemistry background. It explains how machine learning can accelerate chemistry research for climate applications.
Watch the introductory series on YouTube.
Technical presentations¶
FAIR Chemistry technical overview
An overview of the Open Catalyst Project and FAIR Chemistry framework, including model architectures, training strategies, and catalysis applications.
Research applications and future directions
Research applications of FAIR Chemistry models and directions for machine learning in computational chemistry and materials science.
Read the research¶
Browse FAIR Chemistry papers for the methods, datasets, and applications behind the project.