Integrating AI in Computational Chemistry for Education

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Explore the transformative impact of integrating Machine Learning (ML) into computational chemistry with a focus on Density Functional Theory (DFT). This presentation at EduWorkshop will define computational chemistry, highlighting DFT's significance and inherent challenges, such as accuracy and computational costs. We propose a novel solution using ML to predict and enhance efficiency, detailing our methodology using tools like Gaussian, Avogadro, and Scikit-learn for data generation and...