# X-ray diffraction analysis

Periodic Neon is a trillion-parameter model post-trained with midtraining and reinforcement learning on data from the company's own labs and deployed to its high-throughput physical labs in Menlo Park to analyze X-ray diffraction results. It outperforms Claude Fable 5.1 and GPT-6 Astra on diffraction analysis, and inference is optimized so the model can be deployed at scale. Its training data comes from physical experiments rather than elastically scalable digital environments.

Periodic Neon is a trillion-parameter model post-trained with midtraining and reinforcement learning on data from the company's own labs and deployed to its high-throughput physical labs in Menlo Park to analyze X-ray diffraction results. It outperforms Claude Fable 5.1 and GPT-6 Astra on diffraction analysis, and inference is optimized so the model can be deployed at scale. Its training data comes from physical experiments rather than elastically scalable digital environments.