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Dive into the research topics where Peter R. Spackman is active.

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Featured researches published by Peter R. Spackman.


IUCrJ | 2017

CrystalExplorer model energies and energy frameworks: extension to metal coordination compounds, organic salts, solvates and open-shell systems

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

Estimating the CCSD basis-set limit energy from small basis sets: basis-set extrapolations vs additivity schemes

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

High throughput profiling of molecular shapes in crystals

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

Accurate Lattice Energies for Molecular Crystals from Experimental Crystal Structures

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

Investigating the Resonance in Nitric Acid and the Nitrate Anion Based on a Modern Bonding Analysis

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

Structure searching methods: general discussion

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

Applications of crystal structure prediction – inorganic and network structures: general discussion

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

Basis set convergence of CCSD(T) equilibrium geometries using a large and diverse set of molecular structures

Peter R. Spackman; Dylan Jayatilaka; Amir Karton


Journal of Physical Organic Chemistry | 2017

Approaching an experimental electron density model of the biologically active trans‐epoxysuccinyl amide group—Substituent effects vs. crystal packing

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

Quantum chemical electron impact mass spectrum prediction for de novo structure elucidation: Assessment against experimental reference data and comparison to competitive fragmentation modeling

Peter R. Spackman; Björn Bohman; Amir Karton; Dylan Jayatilaka

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Dylan Jayatilaka

University of Western Australia

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Mark A. Spackman

University of Western Australia

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Amir Karton

University of Western Australia

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Sajesh P. Thomas

University of Western Australia

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Graeme M. Day

University of Southampton

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Sarah L. Price

University College London

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