Experimental Forge
Queue candidates for physical validation. Results are used to retrain the AI models, creating a virtuous feedback loop of scientific discovery.
Forge Pipeline
01
Virtual Validation
Candidates are screened for geometric stability and basic energy levels before full simulation.
02
Quantum Compute
Running DFT (Density Functional Theory) to find the 'Ground State' of the catalyst structure.
03
Activity Mapping
Calculating how easily molecules bind to the surface and exit as reaction products.
04
Active Learning
Results are fed back into the Discovery Engine to improve future GNN predictions.
Synthesis Queue0 ACTIVE JOBS
Your Forge is Quiet
Start your discovery journey by entering SMILES on the dashboard or using the submission form on the left.
Digital Input
Forge Queue
Lab Data