Welcome to Prof. Al-Ameed Research Group

Computing Chemistry, Unlocking Discoveries

Our research group is dedicated to investigating the electronic structure of inorganic systems. We employ a wide range of computational approaches, spanning from semi-empirical methods like extended Hückel theory to advanced multi-configurational SCF techniques. Our studies focus on exploring structural properties, spectroscopy, and reactivity. Additionally, we integrate molecular dynamics and molecular docking simulations to gain deeper insights into dynamic behavior and intermolecular interactions. Much of our research is conducted in collaboration with experimental groups specializing in electronic structure analysis, magnetochemistry, electrochemistry, and reactivity. You can learn more about our research interests and browse our list of publications.

Our Group Research Interests

Molecular Magnetism

Our group uses computational methods to understand and predict the magnetic properties of transition metal and lanthanide complexes, with a focus on single-molecule magnets (SMMs). We apply multireference methods such as CASSCF/NEVPT2 and ab initio ligand field theory to calculate magnetic anisotropy, spin-orbit coupling, and exchange interactions, aiming to uncover how electronic structure and coordination environment govern slow magnetic relaxation. By linking calculated parameters to experimentally observed behavior, our work helps establish design principles for molecules with higher blocking temperatures, guiding the rational design of next-generation magnetic materials for data storage and quantum information applications.

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Organometallic Chemistry

Our group uses density functional theory (DFT) and related computational tools to investigate the electronic structure, bonding, and reactivity of metal-ligand complexes. We are interested in mapping reaction mechanisms and catalytic cycles at the molecular level, including transition state analysis, energy profiles, and the role of ligand electronic and steric effects in tuning metal-centered reactivity. This computational approach complements experimental efforts by providing mechanistic insight that helps rationalize selectivity and reactivity trends, supporting the design of more efficient and selective catalysts.

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Protein-Based Computation

Our group also applies computational methods to study metalloproteins and enzyme active sites, using QM/MM and multiscale modeling approaches to capture how the protein environment influences metal-centered structure and reactivity. We are interested in characterizing electronic structure, spin states, and reaction mechanisms at metalloenzyme active sites, bridging our expertise in molecular magnetism and organometallic chemistry with biological systems. This work aims to reveal how nature tunes metal reactivity and magnetic behavior within a protein scaffold, with implications for understanding enzymatic catalysis and designing bioinspired catalysts and functional materials.