Computational and Modeling

Center for Computational Research server room.

Theory and computation driving discovery

Research in computational chemistry at UB focuses on understanding chemical systems through theory and simulation. Faculty develop and apply computational tools to study reaction mechanisms, electronic structure and spectroscopic properties across a wide range of chemical systems.

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Key scientific questions

Computational chemistry research at UB addresses questions such as:

  • How do electronic structures determine the properties of molecules, clusters and materials?
  • How do bioinorganic and catalytic reaction mechanisms proceed at the atomic level?
  • How can theory predict the structure and stability of novel materials?
  • How do molecular and extended systems respond to external fields and stimuli?
  • How can spectroscopic properties such as optical activity and magnetic resonance be accurately calculated?

These questions connect fundamental theory to experimental observation and application.

How computational and modeling research works

Computational chemistry research applies advanced theoretical models and high performance computing to investigate chemical structures, reactions and properties. Researchers use quantum chemistry, molecular dynamics and band structure calculations to investigate molecular behavior, reaction pathways and material properties.

New computational methods are developed to predict structures, model reactions and calculate response properties. Research is supported by UB’s state-of-the-art Center for Computational Research (CCR), which provides the high performance computing resources needed for large-scale simulations.

Key areas of focus

Computational chemistry research at UB commonly includes:

  • Quantum chemical modeling of molecular systems
  • Molecular dynamics simulations of chemical processes
  • Bioinorganic and catalytic reaction mechanisms
  • Electronic structure of clusters, nanomaterials and extended systems
  • Prediction of spectroscopic properties including optical activity and magnetic resonance
  • Method development for materials and molecular prediction

Together, these areas support discovery across chemistry, biology and materials science.

Affiliated research faculty

Get involved in research

Illustration depicting computational chemistry.

Students can gain hands-on computational research experience and build skills that translate to careers in pharmaceuticals, materials science, energy, advanced manufacturing, data driven research and graduate study.