Constructing Potential Energy Surface of Water Molecule by Quantum Chemistry and Machine Learning: Introduction to a Comprehensive Computational Chemistry Experiment
Constructing Potential Energy Surface of Water Molecule by Quantum Chemistry and Machine Learning: Introduction to a Comprehensive Computational Chemistry Experiment
The status of machine learning in chemistry and related disciplines is becoming increasingly prominent, but its application in undergraduate chemistry experiments has yet to be seen. Existing computational chemistry experiments mostly focus on the application of quantum chemistry methods to study molecular properties and chemical reactions. In order to popularize machine learning as a powerful tool, this article will introduce a comprehensive computational chemistry experiment suitable for senior undergraduate students or graduate students. Through this experiment, students can gain a preliminary understanding of the basic principles and operational procedures of machine learning, while also develop their ability to apply quantum chemistry and machine learning to solve chemical problems.
关键词
势能面/量子化学/机器学习/计算化学实验
Key words
Potential energy surface/Quantum chemistry/Machine learning/Computational chemistry experiment
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