Computational Chemistry
Computational chemistry uses mathematical models and computer simulations to study chemical systems and predict molecular behavior. Scientists employ quantum mechanics, molecular dynamics, and statistical methods to investigate reaction mechanisms, molecular structures, and material properties.
Members
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Professor Barecka seeks to provide technically feasible and economically viable solutions for the transition to carbon neutrality.
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Professor Budil’s group is interested in the physical behavior of macromolecules, including both synthetic polymers and biopolymers such as large proteins.
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Professor Chakraborty’s research focus is on the interface of biology, chemistry and physics, using computer-aided structural modeling and simulations of biomolecules.
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Professor Dong develops design strategies for molecules, materials, and processes for advancing renewable energy, biomedicine, and other areas of societal importance.
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Professor Dransfield’s research interests blend computational chemistry with gas-phase kinetics and mechanistic studies, and the use of infrared spectroscopy to identify gas-phase and aerosol species.
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The Lopez group uses quantum mechanical and machine learning techniques to identify next-generation organic materials for applications in renewable energy and photomedicine.
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Research in the Mattos Lab focuses on understanding the rules that govern the recognition, assembly and function of macromolecular complexes.
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Professor Ondrechen’s research spans theoretical and computational chemistry, computational biology, bioinformatics, protein design, and drug discovery.