Using multiple computational methods in combination leads to fundamental insights in complex systems: where the complexity may arise either from the number of atoms or from strong electron correlation. Our research group tackles diverse problems in transition metal chemistry, f-element chemistry, and porous materials. Applications include controlling spin in transition metal complexes, contributing to solving the f-electron challenge, designing next-generation catalysts through collaboration, sustainable polymers, and more.

Computational Modeling in f-element Chemistry

The 5f-orbitals and 6d-orbitals are well-known to engage in bonding motifs with multiconfigurational electronic structures and spin-orbit effects are frequently large. We perform state-of-the-art calculations that can be systematically improved on systems ranging from small molecules to large coordination complexes containing actinides. Our goal is to use higher-level methods than traditionally applied in the literature. We make synergistic comparisons between theory and highly accurate spectroscopic measurements. By computing properties using fully relativistic CASPT2 methods based on the Dirac equation (Dirac-CASPT2), we can understand the importance of the different relativistic effects as well as characterize the contributions from non-dynamic and dynamic correlation. Specifically, we study organoactinide complexes in collaboration with synthetic chemists, small molecules in collaboration with spectroscopists, and examine systematically chosen systems in collaboration with theoretical chemists developing new methods.


 

U(arene)(BH4)3 anion for the low spin state. The orbital involved in the delta bond is shown.

Actinide-Arene Interactions

The uranium-arene interaction energy shows that higher energy electron rich π-systems drive electrostatic contributions, while lower energy electron poor π-systems give rise to larger orbital contributions. Moreover, low occupancy U–arene π-bonding interactions dominate, while δ-bonding interactions are only found in the experimentally realized complex. Both DFT and multireference calculations on a reduced complex suggest oxidation state cannot be deduced from structural features alone. 

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Ball and stick model of a uranium phosphinodiboranate dimer.

Quantifying Metal-Ligand Covalency

Experimental and computational studies quantify the measured effect of variations in metal-ligand covalency on the reactivity of phosphinodiboranate complexes with trivalent uranium and similarly sized lanthanides. Shorter-than-expected U−B distances indicate an increased covalency giving rise to measurable differences in solution deoligomerization reactivity when compared to isostructural complexes with similarly sized lanthanides. 


 

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An image of a tetrahedral Np(V) complex that our group recently modeled.

Zero-Field Splitting and Spin-Orbit Coupling

Using multireference methods, our group calculates the extent of spin-orbit coupling in actinide and lanthanide complexes. We are especially interested in novel oxidation states and transuranic systems. By employing a variety of methods that treat spin-orbit effects, ranging from state-interaction methods up to fully variational four-component methods, we can model the magnetic and spectroscopic properties accurately.

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CASPT2 Molecular Geometries in Transition Metal Chemistry

Recent technological development of fully internally contracted gradients for second-order multireference complete active space methods (CASPT2) has enabled the geometry optimization of medium to large transition metal complexes. Our group has focused on using these methods to model the molecular geometries of iron spin-crossover complexes, copper corrole complexes, and Cr–Cr multiple bonds with CASPT2. While DFT geometries are often quite good for minima, this can break down when the electronic structure is best described with a multireference method. By performing geometry optimizations for the correct multireference ground state, one can ensure that the potential energy surface is described appropriately and avoid needing to take care with functional choice. This work is facilitated by implementations in the BAGEL program package, of which we are developers.

Cartoon representation of the potential energy surface along the saddling angle of the copper corrole.

Molecular Geometry of Cu Corrole Complexes

Cu corroles are known for their unique multiconfigurational electronic structures in the ground state, which arise from the transfer of electrons from the π orbitals of the corrole to the d orbital of copper. While DFT provides reasonably good molecular geometries, the ground spin state is heavily influenced by functional choice. Using the XMS-CASPT2 method, the structure is optimized for the correct multiconfigurational state.

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Graph showing that the M-N_amine bond distance is not well reproduced with DFT but wavefunction methods do better.

Importance of Dispersion in a Mn(III) Complex

For the geometry of the quintet high-spin state, density functionals significantly overestimate Mn–Namine bond distances, although the geometry for the triplet intermediate-spin state is well described. Comparisons with several wave function-based methods demonstrate that this error is due to the limited ability of commonly used density functionals to recover dispersion beyond a certain extent. XMS-CASPT2 offers a balanced approach, leading to better molecular geometries.

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An example of the coordination complex with a Cr-Cr bond and a cartoon representation of the harmonic vibrational mode.

Vibrational Spectroscopy of a Cr-Cr Multiple Bond

Accurate computational vibrational analysis of the Cr–Cr bond in dichromium complexes using second-order multireference complete active space methods (CASPT2) allows for direct comparison with experimental spectroscopic data. This facilitates interpreting the low-energy region of the spectra and provides insights into the nature of the bonds themselves.  Some Cr–Cr vibrational stretching modes suggest weaker bonding, even for so-called ultrashort Cr–Cr bonds, while others are in line with the bond distance. 

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Improving Sustainable Polymers with Computational Insights

Within the NSF Center for Sustainable Polymers (NSF CSP), we perform computational modeling in combination with experiment to provide molecular-level insights to reaction mechanisms in order to guide the design of the next generation of catalysts. By means of a combination of density functional theory (DFT) and classical simulations, we address questions arising from experiments performed in the Center. We are currently collaboration with the Tolman group at Washington University in St. Louis, the Dauenhauer and Tonks groups at the University of Minnesota, and the Kalow group at Northwestern University.

Image of the transition state for the best catalyst at the rate determining state

Ligand Effects on Decarbonylation

DFT calculations corroborated the experimental findings and provided insights into the ligand influences on reaction step barriers and transition state structures. Key findings include the following: a stable intermediate forms after chloride abstraction, from which β-hydride elimination is most affected by ligand choice, the low coordination number for the PtBu3 case lowers reaction barriers for all steps, and the trans disposition of two ligands for L = PPh3 contributes to the low efficiency for styrene production in that case.

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An image showing the many competing reactions that are occurring inside the zeolite.

Selective Dehydration of Methyl Lactate to Acrylates

Co-feeding an inert and site-selective chemical titrant provides desirable selectivity tuning when titrant adsorption is favored over side reaction pathways on a solid acid catalyst. Here, a selectivity enhancement from 61 to 84 C % was demonstrated for methyl lactate dehydration to methyl acrylate and acrylic acid over a NaY zeolite catalyst using amines as the co-fed titrants to suppress side reactions on in situ-generated Brønsted acid sites (BASs). The effectiveness of BAS titration was evaluated by considering both the basicity and steric properties of the titrant molecule with the goal to maximize the selectivity enhancement. 

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Ball and stick image of the water mediated adsorption of THF in the zeolite

Sulfurous Zeosils for Dehydra-Decyclization of THF

The computational results suggested that the nature of the Brønsted acid sites and the adsorption energetics (relative THF-acid site interaction energies) are distinct in each catalyst. Additionally, the protonation of THF can be improved with the addition of a water molecule acting as a proton shuttle, particularly in S-MFI. Overall, S-containing zeosils exhibited the ability to control reaction pathways and product distribution in dehydra-decyclization chemistry optimization within microporous zeolites, providing another alternative weak-acid catalytic material.

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