Making Science Programmable.
Dynamical Systems turns physical science into trainable experience.
We make every experiment verifiable, replayable, and compounding.
Research
Scaling Test-Time Verification for Novel Materials
Crystal diffusion models encode property signals in their hidden states that they never use during sampling. Probe-gradient guidance steers unconditional generation toward target properties at test time, comparable to conditional models at over 50x the speed.
April 2026
The Missing Layer in Autonomous Science
Multi-turn RL in verified campaign environments lifts hypothesis accuracy from 55.2% to 79.3% on held-out campaigns, surpassing GPT-5.4 with 3B active parameters.
April 2026