Research output per year
Research output per year
Personal profile
Research interests
The research aim of the SCAMs@bristol group is to develop powerful analysis methods for data from experiments and simulations, by including what we already know about the world — some may call this physics-informed modelling. These methods make use of cutting-edge tools developed in the data science community to ensure the maximum information is obtained from the measurement.
We believe that the next generation of data analysis will be built on an understanding of the fundamental chemistry and physics of the systems of interest.
Webpage: scams-research.github.io
External positions
Visiting Researcher, European Spallation Source
14 Aug 2023 → …
Topic Editor, Journal of Open Source Education
1 Sept 2022 → …
Keywords
- statistical modelling
- neutron scattering
- x-ray scattering
- bayesian analysis
- programming
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Collaborations and top research areas from the last five years
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Research output
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Accurate Estimation of Diffusion Coefficients and their Uncertainties from Computer Simulation
McCluskey, A. R., Coles, S. W. & Morgan, B. J., 30 Dec 2024, (E-pub ahead of print) In: Journal of Chemical Theory and Computation. 9 p.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open Access -
Digital skills in chemical education
McCluskey, A. R., Rivera, M. & Mey, A., 23 Aug 2024, In: Nature Chemistry. 16, 9, p. 1383-1384 2 p.Research output: Contribution to journal › Comment/debate (Academic Journal)
Open AccessFile1 Citation (Scopus)3 Downloads (Pure) -
A general approach to maximise information density in neutron reflectometry analysis
McCluskey, A. R., Cooper, J. F. K., Arnold, T. & Snow, T., 2 Jul 2020, In: Machine Learning: Science and Technology. 1, 12 p., 035002.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open Access16 Citations (Scopus)
Datasets
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Molecular dynamics simulations of cubic LLZO at 700 K
Coles, S. W. (Creator) & McCluskey, A. R. (Contributor), Zenodo, 2024
DOI: 10.5281/zenodo.10532134, https://zenodo.org10532134
Dataset
Prizes
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2024 BTM Willis Prize
McCluskey, A. R. (Recipient), 11 Apr 2024
Prize: Prizes, Medals, Awards and Grants
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Materials Advances Computational Science Prize
McCluskey, A. R. (Recipient), 19 Dec 2023
Prize: Prizes, Medals, Awards and Grants