Automated Chemical Equation Balancing Using the Apriori Algorithm

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

doi:10.37899/journallamultiapp.v4i3.852

Yasmin Makki Mohialden Department of Computer Science, College of Science, Mustansiriyah University, Baghdad, Iraq
Nadia Mahmood Hussien Department of Computer Science, College of Science, Mustansiriyah University, Baghdad, Iraq
Walaa A Abd Al-Rada Department of Computer Science, College of Science, Mustansiriyah University, Baghdad, Iraq

DOI: https://doi.org/10.37899/journallamultiapp.v4i3.852

Keywords: Chemical Equation Balancing, Apriori Algorithm, Automation in Chemistry, Machine Learning in Chemistry, Conservation of Mass

Abstract

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.

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