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Materials Science

D-Index
70
Citations
15508
World Ranking
4491
National Ranking
180

Chemistry

D-Index
70
Citations
15562
World Ranking
5940
National Ranking
341

Overview

Graeme M. Day is affiliated with the University of Southampton in the United Kingdom. Their research primarily focuses on Materials Science, with a specialization in Materials Chemistry, Physical and Theoretical Chemistry, Inorganic Chemistry, Computational Theory and Mathematics, and Spectroscopy.

The scientist's work covers a range of topics including:

  • X-ray Diffraction in Crystallography
  • Crystallization and Solubility Studies
  • Crystallography and Molecular Interactions
  • Machine Learning in Materials Science
  • Metal-Organic Frameworks: Synthesis and Applications
  • Covalent Organic Framework Applications
  • Computational Drug Discovery Methods

Graeme M. Day has coauthored extensively with several researchers, frequently collaborating with Andrew I. Cooper, Thierry Maris, James D. Wuest, Marc A. Little, and Aaron Gabriel Nunez Avila.

Their recent publications include:

  • Porous Isoreticular Non-Metal Organic Frameworks, 2024, Nature
  • An Expandable Hydrogen-Bonded Organic Framework Characterized by Three-Dimensional Electron Diffraction, 2020, Journal of the American Chemical Society
  • Photocatalytic Proton Reduction by a Computationally Identified, Molecular Hydrogen-Bonded Framework, 2020, Journal of Materials Chemistry A
  • Modular, Multi-Robot Integration of Laboratories: An Autonomous Workflow for Solid-State Chemistry, 2023, Chemical Science
  • Multifidelity Statistical Machine Learning for Molecular Crystal Structure Prediction, 2020, The Journal of Physical Chemistry A

Their publications are primarily featured in venues such as The Cambridge Structural Database, with 62 publications, Journal of the American Chemical Society, Crystal Growth & Design, Faraday Discussions, and ePrints Soton (University of Southampton).

Best Publications

  • Report on the sixth blind test of organic crystal-structure prediction methods

    Anthony M. Reilly;Richard I. Cooper;Claire S. Adjiman;Saswata Bhattacharya

  • Improving Mechanical Properties of Crystalline Solids by Cocrystal Formation: New Compressible Forms of Paracetamol

    Shyam Karki;Tomislav Friščić;László Fábián;Peter R. Laity

  • A third blind test of crystal structure prediction

    G.M. Day;W.D.S. Motherwell;H.L. Ammon;S.X.M. Boerrigter

  • A Cocrystal Strategy to Tune the Luminescent Properties of Stilbene-Type Organic Solid-State Materials

    Dongpeng Yan;Amit Delori;Gareth O. Lloyd;Tomislav Friščić

  • Modular and predictable assembly of porous organic molecular crystals

    James T. A. Jones;Tom Hasell;Xiaofeng Wu;John Bacsa

  • Significant progress in predicting the crystal structures of small organic molecules--a report on the fourth blind test.

    Graeme M. Day;Timothy G. Cooper;Aurora J. Cruz-Cabeza;Katarzyna E. Hejczyk

  • Towards crystal structure prediction of complex organic compounds--a report on the fifth blind test.

    David A. Bardwell;Claire S. Adjiman;Yelena A. Arnautova;Ekaterina Bartashevich

  • Functional materials discovery using energy–structure–function maps

    Angeles Pulido;Linjiang Chen;Tomasz Kaczorowski;Daniel Holden

  • Static and lattice vibrational energy differences between polymorphs

    Jonas Nyman;Graeme M. Day

  • Modelling organic crystal structures using distributed multipole and polarizability-based model intermolecular potentials

    Sarah L. Price;Maurice Leslie;Gareth W. A. Welch;Matthew Habgood

  • The prediction, morphology, and mechanical properties of the polymorphs of paracetamol.

    Theresa Beyer;Graeme M. Day;Sarah L. Price

  • Terahertz time-domain spectroscopy and the quantitative monitoring of mechanochemical cocrystal formation

    K. Lien Nguyen;Tomislav Friščić;Graeme M. Day;Lynn F. Gladden

  • Powder crystallography by combined crystal structure prediction and high-resolution 1H solid-state NMR spectroscopy.

    Elodie Salager;Graeme M. Day;Robin S. Stein;Chris J. Pickard

  • Current approaches to predicting molecular organic crystal structures

    Graeme M. Day

  • Near-Ideal Xylene Selectivity in Adaptive Molecular Pillar[ n]arene Crystals.

    Kecheng Jie;Ming Liu;Yujuan Zhou;Marc A. Little

  • Machine learning for the structure–energy–property landscapes of molecular crystals

    Félix Musil;Sandip De;Jack Yang;Joshua E. Campbell

  • De novo determination of the crystal structure of a large drug molecule by crystal structure prediction-based powder NMR crystallography.

    Maria Baias;Jean-Nicolas Dumez;Per Henrik Svensson;Staffan Schantz

  • On–Off Porosity Switching in a Molecular Organic Solid

    James T. A. Jones;Daniel Holden;Tamoghna Mitra;Tom Hasell

  • Evaluating the Energetic Driving Force for Cocrystal Formation.

    Christopher Robert Taylor;Graeme M. Day

  • Which conformations make stable crystal structures? Mapping crystalline molecular geometries to the conformational energy landscape

    Hugh P. G. Thompson;Graeme M. Day

  • Understanding the influence of polymorphism on phonon spectra : Lattice dynamics calculations and terahertz spectroscopy of carbamazepine

    G.M. Day;J.A. Zeitler;W. Jones;T. Rades

  • Modular and predictable assembly of porous organic molecular crystals

    AI Cooper;GM Day;Jta Jones;X Wu

Frequent Co-Authors

William Jones
William Jones University of Cambridge
Andrew I. Cooper
Andrew I. Cooper University of Liverpool
Sarah L. Price
Sarah L. Price University College London
Kim E. Jelfs
Kim E. Jelfs Imperial College London
Tomislav Friščić
Tomislav Friščić University of Birmingham
Tom Hasell
Tom Hasell University of Liverpool
Rob Clowes
Rob Clowes University of Liverpool
Xiao-Feng Wu
Xiao-Feng Wu Dalian Institute of Chemical Physics
Dave J. Adams
Dave J. Adams University of Glasgow
Artem R. Oganov
Artem R. Oganov Skolkovo Institute of Science and Technology

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