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aure

aure contains 7 collected skills from neutrons-ai, with repository-level occupation coverage and site-owned skill detail pages.

skills collected
7
Stars
0
updated
2026-07-01
Forks
2
Occupation coverage
3 occupation categories ยท 100% classified
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Skills in this repository

solvent-contrast-matching
chemists

Domain knowledge for any sample measured in a liquid medium โ€” solvents, electrolytes, solutions, buffers, aqueous media. Covers Dโ‚‚O/Hโ‚‚O and other deuterated-solvent SLD values, isotope-confusion detection, and the common case where the user does NOT state whether the liquid is deuterated (an unspecified solvent may well be deuterated). ACTIVATE THIS SKILL WHENEVER the ambient/fronting medium is a liquid (water, electrolyte, solution, buffer, THF, toluene, etc.) โ€” deuteration need not be mentioned for it to be relevant, because whether a solvent is H-form or D-form dominates the low-Q reflectivity and is the single most common omission in sample descriptions.

2026-07-01
structural-hypothesis-ranking
physicists

Meta-skill for generating and acting on a ranked list of candidate structural changes to a reflectivity model. Always active. Teaches the agent to enumerate plausible structural modifications (adding, removing, splitting, or reshaping layers) at intake time, drawing on the other active domain skills, and to walk that list in rank order when parameter-only refinement stops making progress.

2026-07-01
multi-state-corefinement
physicists

Cross-state co-refinement of neutron reflectometry data โ€” when one sample is measured in two or more physical states (solvent contrast, anneal temperature, swelling step, applied potential, etc.) and the structural model is shared across states. Activated automatically whenever the workflow state has ``len(states) > 1``. Covers when to use it, the default tied parameter set, how to choose ``shared_parameters`` versus ``unshared_parameters``, and common experimental patterns.

2026-06-25
neutron-reflectometry
physicists

Baseline domain knowledge for neutron reflectometry modeling and fitting with refl1d. Provides common material SLD values, chi-squared interpretation guidelines, model complexity rules (BIC), roughness constraints, refl1d API conventions, and general constraints that apply to ALL reflectometry analyses. Always activated.

2026-06-25
metal-oxide-interfaces
materials-scientists

Domain knowledge for metal oxide interface analysis in reflectometry. Covers native oxide formation on metals (Cuโ†’CuO, Tiโ†’TiOโ‚‚), oxide thickness ranges, and rules for when to add or avoid oxide layers. Always use when the sample involves metals, copper, titanium, native oxides, or SiOโ‚‚. The user may not have specified the oxide layer, but if the metal is exposed to ambient conditions, it is likely present and should be considered in the model.

2026-04-21
polymer-films
materials-scientists

Domain knowledge for polymer thin film reflectometry analysis. Covers common polymer SLD values, isotope labeling conventions, typical film thickness ranges, and contrast matching strategies. Use when the sample involves polymers, polystyrene, polymer brushes, block copolymers, or spin-coated films.

2026-04-17
sei-layer-analysis
materials-scientists

Domain knowledge for solid electrolyte interphase (SEI) and battery electrode interface analysis. Covers SEI layer thickness ranges, lithium plating, battery material SLDs, and electrochemical cell conventions. Use when the sample involves batteries, electrochemistry, SEI, lithium plating, anodes, or cathodes.

2026-04-17