LIFE SCIENCES & MATERIALS

Crystal structure prediction & DFT

Crystal structure prediction & DFT is an OpenEnv-compatible reinforcement learning environment in our Life Sciences & Materials catalog. An agent acts through the tools below, and a deterministic verifier scores every episode, so the reward can be used for GRPO or other RLVR post-training.

Task and verification

Propose stable crystal structures for novel solid-state electrolytes and alloys. Ground-state energy minimization, formation enthalpy, and converged density functional theory gate qualification.

Tools and runtime

Atomic Simulation Environment (ASE) + pymatgen + DFT solvers

OPENENV / MATERIALS

Related Life Sciences & Materials gyms

• Opentrons bio-lab protocol execution
• X-ray diffraction (XRD) materials suite
• CRISPR guide RNA design & off-target checks
• Multi-step organic retrosynthesis
• De novo protein sequence design
• Small molecule drug discovery & docking
• Autonomous experimental design (DoE)
• Molecular structure visualization & render (PyMOL)
• Clinical quality measures (FHIR & CQL)

See how these environments are run privately on the custom RL environments page, and how their rewards are made hard to game in our verifier design guide.

Plan a training run

Check the environment’s availability, compatible models and compute in Studio. A catalog entry does not guarantee that hosted training is enabled for your workspace.