Peter R. Spackman
University of Western Australia
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Publication
Featured researches published by Peter R. Spackman.
IUCrJ | 2017
C.F. Mackenzie; Peter R. Spackman; Dylan Jayatilaka; Spackman
The accurate and efficient CE-B3LYP and CE-HF model energies for intermolecular interactions in molecular crystals are extended to a broad range of crystals by calibration against density functional results for molecule/ion pairs extracted from 171 crystal structures. The mean absolute deviation of CE-B3LYP model energies from DFT values is a modest 2.4 kJ mol−1 for pairwise energies that span a range of 3.75 MJ mol−1.
AIP Advances | 2015
Peter R. Spackman; Amir Karton
Coupled cluster calculations with all single and double excitations (CCSD) converge exceedingly slowly with the size of the one-particle basis set. We assess the performance of a number of approaches for obtaining CCSD correlation energies close to the complete basis-set limit in conjunction with relatively small DZ and TZ basis sets. These include global and system-dependent extrapolations based on the A + B/Lα two-point extrapolation formula, and the well-known additivity approach that uses an MP2-based basis-set-correction term. We show that the basis set convergence rate can change dramatically between different systems(e.g.it is slower for molecules with polar bonds and/or second-row elements). The system-dependent basis-set extrapolation scheme, in which unique basis-set extrapolation exponents for each system are obtained from lower-cost MP2 calculations, significantly accelerates the basis-set convergence relative to the global extrapolations. Nevertheless, we find that the simple MP2-based basis-...
Scientific Reports | 2016
Peter R. Spackman; Sajesh P. Thomas; Dylan Jayatilaka
Molecular shape is important in both crystallisation and supramolecular assembly, yet its role is not completely understood. We present a computationally efficient scheme to describe and classify the molecular shapes in crystals. The method involves rotation invariant description of Hirshfeld surfaces in terms of of spherical harmonic functions. Hirshfeld surfaces represent the boundaries of a molecule in the crystalline environment, and are widely used to visualise and interpret crystalline interactions. The spherical harmonic description of molecular shapes are compared and classified by means of principal component analysis and cluster analysis. When applied to a series of metals, the method results in a clear classification based on their lattice type. When applied to around 300 crystal structures comprising of series of substituted benzenes, naphthalenes and phenylbenzamide it shows the capacity to classify structures based on chemical scaffolds, chemical isosterism, and conformational similarity. The computational efficiency of the method is demonstrated with an application to over 14 thousand crystal structures. High throughput screening of molecular shapes and interaction surfaces in the Cambridge Structural Database (CSD) using this method has direct applications in drug discovery, supramolecular chemistry and materials design.
Journal of Chemical Theory and Computation | 2018
Sajesh P. Thomas; Peter R. Spackman; Dylan Jayatilaka; Mark A. Spackman
Using four different benchmark sets of molecular crystals, we establish the level of confidence for lattice energies estimated using CE-B3LYP model energies and experimental crystal structures. [ IUCrJ 2017 , 4 , 575 - 587 10.1107/S205225251700848X .] We conclude that they compare very well with available benchmark estimates derived from sublimation enthalpies, and in many cases they are comparable with, and sometimes better than, more computationally demanding approaches, such as those based on periodic DFT plus dispersion methodologies. The performance over the complete set of 110 crystals indicates a mean absolute deviation from benchmark energies of only 6.6 kJ mol-1. Applications to polymorphic crystals and larger molecules are also presented and critically discussed. The results highlight the importance of recognizing the consequences of different sets of crystal/molecule geometries when different methodologies are compared, as well as the need for more extensive benchmark sets of crystal structures and associated lattice energies.
Australian Journal of Chemistry | 2018
Malte Fugel; Florian Kleemiss; Lorraine A. Malaspina; Rumpa Pal; Peter R. Spackman; Dylan Jayatilaka; Simon Grabowsky
The nitrate anion, NO3−, is often regarded as a textbook example for the very fundamental concept of resonance. Usually, three equivalent resonance structures with one N–O double bond and two N–O single bonds are considered. Consequently, each of the three N–O bonds should have a partial double bond character. In this study, we analyse the resonance in NO3− in comparison with the related species HNO3 and FNO3 by applying a combination of the Quantum Theory of Atoms in Molecules (QTAIM), a natural bond orbital (NBO) analysis, the electron localizability indicator (ELI), and valence bond (VB) calculations. Despite the fundamental importance of nitrate salts and nitric acid for the environment, chemistry, and industry, a bonding analysis is absent from the literature so far. The classical resonance structures are clearly reflected by the bond analysis tools, but are not the only contributions to the bonding situation. The resonance in HNO3 and FNO3 is greatly perturbed by the hydrogen and fluorine atoms. In addition to theoretical calculations, experimental electron density and wave function refinements were carried out on a KNO3 crystal.
Faraday Discussions | 2018
Matthew Addicoat; Claire S. Adjiman; Mihails Arhangelskis; Gregory J. O. Beran; Jan Gerit Brandenburg; Doris E. Braun; Virginia Burger; Asbjoern Burow; Christopher Collins; Andrew I. Cooper; Graeme M. Day; Volker L. Deringer; Matthew S. Dyer; Alan Hare; Kim E. Jelfs; Julian Keupp; Stefanos Konstantinopoulos; Yi Li; Yanming Ma; Noa Marom; David McKay; Caroline Mellot-Draznieks; Sharmarke Mohamed; Marcus A. Neumann; Sten Nilsson Lill; Jonas Nyman; Artem R. Oganov; Sarah L. Price; Susan M. Reutzel-Edens; Michael T. Ruggiero
HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Structure searching methods: general discussion Matthew Addicoat, Claire Adjiman, Mihails Arhangelskis, Gregory Beran, Gerit Brandenburg, Doris Braun, Virginia Burger, Asbjoern Burow, Chris Collins, Andrew Cooper, et al.
Faraday Discussions | 2018
Virginia Burger; Frederik Claeyssens; Daniel W. Davies; Graeme M. Day; Matthew S. Dyer; Alan Hare; Yi Li; Caroline Mellot-Draznieks; John B. O. Mitchell; Sharmarke Mohamed; Artem R. Oganov; Sarah L. Price; Michael T. Ruggiero; Matthew R. Ryder; German Sastre; J. Christian Schön; Peter R. Spackman; Scott M. Woodley; Qiang Zhu
1 Applications of crystal structure prediction – inorganic and network structures: general discussion Virginia Burger, Frederik Claeyssens, Daniel Davies, Graeme Day, Matthew S. Dyer, Alan Hare, Yi Li, Caroline Mellot-Draznieks, John Mitchell, Sharmarke Mohamed, Artem R. Oganov, Sarah Price, Michael Ruggiero, Matthew Ryder, German Sastre, Christian Schön, Peter Spackman, Scott Woodley and Qiang Zhu
Journal of Chemical Physics | 2016
Peter R. Spackman; Dylan Jayatilaka; Amir Karton
Journal of Physical Organic Chemistry | 2017
Ming W. Shi; Scott G. Stewart; Alexandre N. Sobolev; Birger Dittrich; Tanja Schirmeister; Peter Luger; Malte Hesse; Yu-Sheng Chen; Peter R. Spackman; Mark A. Spackman; Simon Grabowsky
International Journal of Quantum Chemistry | 2018
Peter R. Spackman; Björn Bohman; Amir Karton; Dylan Jayatilaka