By VSParticle
This paper addresses this challenge by introducing VSParticle technology that offers a fast, automated, and scalable approach to synthesize a diverse range of alloy catalyst materials with various material combinations and ratio. The technology can produce high-quality, large experimental datasets – an area where conventional wet chemistry methods fall short. These datasets were used by Meta to train AI models to predict which material combinations might be most effective for key processes and can help researchers identify the most promising candidates to take forward further development.
