History and advancements in chemistry

Partial order theory offers chemists a mathematically rigorous way to compare and rank chemical substances across multiple criteria simultaneously, without forcing artificial single-score summaries that can obscure real trade-offs. Applied to problems ranging from the periodic table's underlying structure to environmental risk assessment, these methods help researchers and policymakers make better-informed decisions about which substances to prioritize for regulation or replacement under frameworks like the Sustainable Development Goals. A central open question is how to move reliably from partial rankings—where many substances remain incomparable—to actionable guidance, especially when data are sparse or inconsistent across toxicity, persistence, and exposure metrics. Active work is also exploring how partial order approaches can be integrated with quantitative structure–activity relationships to predict hazard rankings for chemicals that have not yet been fully tested.

Works

358,451

Total citations

1,596,032

Keywords

Partially Ordered SetsPeriodic TableChemical SubstancesMulti-Criteria AnalysisEnvironmental HealthQuantitative Superstructure/Activity Relationships