Publications by authors named "Gabriel A Bramley"

The QM/MM simulation method is provenly efficient for the simulation of biological systems, where an interplay of extensive environment and delicate local interactions drives a process of interest through a funnel on a complex energy landscape. Recent advances in quantum chemistry and force-field methods present opportunities for the adoption of QM/MM to simulate heterogeneous catalytic processes, and their related systems, where similar intricacies exist on the energy landscape. Herein, the fundamental theoretical considerations for performing QM/MM simulations, and the practical considerations for setting up QM/MM simulations of catalytic systems, are introduced; then, areas of heterogeneous catalysis are explored where QM/MM methods have been most fruitfully applied.

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Article Synopsis
  • Adsorption of organic compounds in water is challenging to measure experimentally, and current computational methods are too demanding for routine use, hence the potential benefits of using implicit solvent models to reduce costs.
  • The study demonstrates that statistical thermodynamic arguments and DFT calculations with implicit solvent can estimate free energy and entropy changes for small organics during adsorption to metals, highlighting the differences between vacuum and aqueous environments.
  • Results indicate that using simple gas phase geometries may overestimate adsorption energy for oxygenated aromatics, while more accurate models predict energies closer to experimental values, suggesting that these new methods could improve understanding and predictions of adsorption processes on metal surfaces.
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We present an overview of the onetep program for linear-scaling density functional theory (DFT) calculations with large basis set (plane-wave) accuracy on parallel computers. The DFT energy is computed from the density matrix, which is constructed from spatially localized orbitals we call Non-orthogonal Generalized Wannier Functions (NGWFs), expressed in terms of periodic sinc (psinc) functions. During the calculation, both the density matrix and the NGWFs are optimized with localization constraints.

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