The Vogiatzis Group published their research “Redox states of dinitrogen coordinated to a molybdenum atom” in The Journal of Chemical […]
New courses the Department of Chemistry is offering: Artificial intelligence (AI) rapidly changes many aspects of chemical sciences, from drug […]
Research in the Vogiatzis Group centers on the development of computational methods based on electronic structure theory and machine learning […]
Kostas Vogiatzis, assistant professor with the Department of Chemistry, is one of the recipients of the American Chemical Society, Computers […]
Electronic structure theory describes the motions of electrons in atoms or molecules, and provides a versatile framework for the calculation […]
Machine learning applications for chemical problems have been rapidly increasing. Their popularity is justified since they have led to the […]
The Vogiatzis Group’s research centers on the development of computational methods based on electronic structure theory and machine learning algorithms […]
Metal-organic frameworks (MOFs) are a class of hybrid inorganic/organic materials with exceptional properties that have been used in many chemical […]
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