Automated Chemical Equation Balancing Using the Apriori Algorithm

Mohialden, Yasmin Makki
Hussien, Nadia Mahmood
Al-Rada, Walaa A Abd

Journal La Multiapp
Vol. 4 No. 3 (2023): Journal La Multiapp

Chemical equations must be balanced to maintain mass conservation. Traditional chemists employed manual processes with meticulous investigation and trial-and-error iterations. Automating and enhancing this difficult process is becoming more popular as machine learning (ML) progresses. We provide a novel Apriori algorithm-based chemical equation balancing method in this paper. Our solution uses the Apriori algorithm to find common itemsets of balanced reactions and translates unbalanced equations into machine-readable language. After that, it reconstructs balanced equations, automating a tedious task.