Antimatter, are you ready for a challenge?
Antimatter is an AI engine that combines atomistic predictive modeling with generative approaches. We screen billions of material compositions to predict structures and physical properties, zeroing in on the candidates most likely to yield successful experiments.
Downselection of Compositions
10B → 100
Atomistic Simulation Speedup vs. Serial Workflows
100x
Continual Closed-Loop Operation
24h7d
Time-to-Discovery
370x
Unlocking the holy grail of materials science.
Predict
We screen billions of material compositions to predict structures and physical properties, identifying the best experimental candidates.
Optimize
We optimize chemical synthesis by integrating computational adaptive experimentation, active learning, and self-guided scientific literature review.
Experiment
We optimize chemical synthesis by integrating computational adaptive experimentation, active learning, and self-guided scientific literature review.
Feedback
The entire process generates valuable data that we feed back into our prediction engine, closing the loop.
