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An atomistic model quantifies interactions between six priority indoor smoke constituents and the tear film lipid layer under indoor-relevant conditions. The dataset, created by Changcheng Gao and last updated in April 2026, includes findings on permeability, agglomerate formation, and film rupture mechanics. It provides quantitative thresholds for classifying ocular hazards from smoke components.
License is CC-BY-NC-4.0, which prohibits commercial use. The dataset is 31.8 MB, a relatively small scale.