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 […]
The Vogiatzis Group published their research “Understanding the Nature of Weak Interactions between Functionalized Boranes and N2/O2, Promising Functional Groups […]
The Vogiatzis Group published their work “Computational Approach to Molecular Catalysis by 3d Transition Metals: Challenges and Opportunities” in Chemical […]
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