Arezoo Haghbin - Master's student in Computer Engineering Shahid Beheshti University (SBU), Iran
Elaheh Haghbin - Master of Polymer Chemistry Faculty of Chemistry & Petroleum Sciences Shahid Beheshti University (SBU), Iran
Mehran Amirbeigi Arab - Master of Polymer Chemistry Faculty of Chemistry & Petroleum Sciences - Shahid Beheshti University (SBU), Iran
Pourya Zarshanas - Master of Inorganic Chemistry Faculty of Chemistry & Petroleum Sciences - Shahid Beheshti University (SBU), Iran

Early on, it was recognized that developing systems for predicting properties, designing synthesis, and elucidating structures in chemistry would require significant conceptual work and advanced computer technology. Consequently, emerging methods from computer science were applied to chemistry, including those under the umbrella of artificial intelligence. Publications such as "Applications of Artificial Intelligence for Chemical Inference" emerged from the DENDRAL project at Stanford University, which aimed to predict compound structures from mass spectra. Despite collaboration between esteemed chemists and computer scientists and extensive development efforts, the DENDRAL project was eventually discontinued due to various reasons, including the waning reputation of artificial intelligence in the late ۱۹۷۰s. However, recent years have seen a resurgence of artificial intelligence in general and its application in chemistry in particular. This is due to several factors such as the availability of large amounts of data, increased computing power, and new methods for processing data. These methods are often referred to as "machine learning," although there is no clear distinction between this term and artificial intelligence.

Artificial Intelligence, AI, Chemistry