CHILL+ Classification
CHILL+ classifies each cage-forming water molecule by its local orientational environment. It complements cage-finding methods such as TRACE: TRACE reports closed cage topology, while CHILL+ shows where ordered ice-like and hydrate-like water environments occur throughout the system.Structure Classes
Clavis reports six classes:
The result panel reports the count and fraction of waters in every class. Use these values as a structural descriptor, not as a substitute for checking the trajectory, force field, thermodynamic state, and cage topology.
Run CHILL+
- Load a structure or select a trajectory frame.
- Open ANALYZE and choose CHILL+.
- Run the current-frame analysis.
- Inspect the class counts, 3D colors, and classified-water network in RESULTS.
3D Visualization
When analysis completes, Clavis switches the water visualization to CHILL+ class colors and draws the classified O–O neighbor network. The result controls provide:- HYDRATE ONLY, ICE ONLY, and SHOW ALL quick filters
- Per-class visibility checkboxes
- Network width and opacity controls
- Per-class network colors or one color override
- H-bond visibility, width, and opacity controls alongside CHILL+
SDS or NA does not turn CHILL+ off or invalidate its water classification.
H-bonds and the CHILL+ network can be displayed together. They are separate overlays: the CHILL+ network represents the classifier’s O–O neighbor lattice, while the H-bond overlay uses the active H-bond cutoff and angular criterion.
CHILL+ visualization is preserved in path-traced output: classified oxygen colors, complete-water class filtering, non-water residues, and the classified O–O network are passed to the path-traced scene. For very large systems, begin with a 256–640 px, 64-sample GPU render because path tracing still has to construct and sample a multi-million-triangle scene.
Trajectory Behavior
For native GROMACS and mapped LAMMPS sessions, select CHILL+ and use the trajectory range card’s Start, End, and Step values. The range action classifies those exact frames, plots the six class fractions, and exports the one-based frame labels to CSV. In-memory multi-frame GRO still uses a bounded sample of up to 40 evenly spaced frames across the full trajectory. The separate large-GRO streaming worker is not yet included in the CHILL+ sweep. When you move to another frame while CHILL+ visualization is active, Clavis refreshes the classification for the displayed frame. It preserves your class filters and network styling, but does not reuse a result whose frame identity no longer matches. Rapid native GROMACS navigation keeps the newest frame request and discards superseded requests without presenting them as runtime failures.Interpreting Results
- Compare class fractions over time rather than relying on a single frame.
- Use TRACE or another cage topology method when you need explicit cage counts and cage types.
- Inspect interfacial classes near growth, dissociation, material, or guest boundaries.
- Confirm that water residue names are recognized before treating a low classified fraction as a physical result.