First release with the shared adaptive-sampling core validated end-to-end on
real MD across all three backends.
Highlights
- QM/MM reactive workflow: path generation, path-CV refinement, free energy,
and an NEB reference, demonstrated on SN2, E2 and SN1 systems.
- Engine-agnostic path refinement via EngineSampler, working on AMBER,
GROMACS and OpenMM.
- Weighted Ensemble with burn-in and a steady-state rate estimator.
- Multi-GPU swarm execution verified on two physical A100s.
Breaking
- OpenMM is now the [openmm] extra rather than a core dependency, so
AMBER/GROMACS-only users no longer install it. Use
pip install 'pathgennie[openmm]'.
Test suite 244 passing; CI covers core, ML (torch) and MD (OpenMM + MDAnalysis)
dependency lanes.