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David E. Manolopoulos

Researcher at University of Oxford

Publications -  197
Citations -  17458

David E. Manolopoulos is an academic researcher from University of Oxford. The author has contributed to research in topics: Path integral formulation & Potential energy surface. The author has an hindex of 68, co-authored 193 publications receiving 15866 citations. Previous affiliations of David E. Manolopoulos include St Patrick's College, Maynooth & Dresden University of Technology.

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An atlas of fullerenes

TL;DR: In this paper, the spiral computer program is used to compute the Fullerene cage structure and isomerization of the metal isomeric strain of the skeleton of the tree.
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Quantum statistics and classical mechanics: Real time correlation functions from ring polymer molecular dynamics

TL;DR: An approximate method for calculating Kubo-transformed real-time correlation functions involving position-dependent operators, based on path integral (Parrinello-Rahman) molecular dynamics, which gives the exact quantum mechanical correlation function at time zero, exactly satisfies the quantum mechanical detailed balance condition.
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Ring-Polymer Molecular Dynamics: Quantum Effects in Chemical Dynamics from Classical Trajectories in an Extended Phase Space

TL;DR: This model, which involves classical evolution in an extended ring-polymer phase space, provides a practical approach to approximating the effects of quantum fluctuations on the dynamics of condensed-phase systems.
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An improved log derivative method for inelastic scattering

TL;DR: In this article, a new method for solving the close coupled equations of inelastic scattering is presented, based on Johnson's log derivative algorithm, and uses the same quadrature for the solution of the corresponding integral equations.
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Competing quantum effects in the dynamics of a flexible water model

TL;DR: A new simple point charge model for liquid water, q-TIP4P/F, is introduced, in which the O-H stretches are described by Morse-type functions, and it is found that quantum mechanical fluctuations increase the rates of translational diffusion and orientational relaxation in the model by a factor of around 1.15.