Data Analytics

Have you met Julia Yet?
An introduction to the new kid on the block.
John P. Morrissey
Feb 13, 2022 · Last updated on Jul 22, 2022 18 min read
Have you met Julia Yet?
Are you using Data Classes?
An quick look at why data classes are so useful.
John P. Morrissey
May 16, 2021 · Last updated on Feb 19, 2022 4 min read Numerical Methods, Data Analytics
Are you using Data Classes?
Favourite Tool/Package of 2020
An introduction to my favourite tool or package for 2020.
John P. Morrissey
Dec 19, 2020 · Last updated on Jan 9, 2022 2 min read Numerical Methods, Data Analytics
Favourite Tool/Package of 2020
Post-processing and visualization of large-scale DEM simulation data with the open-source VELaSSCo platform
VELaSSCo (Visualization for Extremely Large-Scale Scientific Computing) is a platform developed to provide new visual analysis methods for large-scale simulations serving the petabyte era. The platform adopts Big Data tools/architectures to enable in-situ processing for analytics of engineering and scientific data and hardware-accelerated interactive visualization.
John P. Morrissey, Prabhat Totoo, Kevin J. Hanley, Stefanos-Aldo Papanicolopulos, Jin Y. Ooi, Iván Cores Gonzalez, Bruno Raffin, Seyedmorteza Mostajabodaveh, Thomas Gierlinger
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Favourite Tool/Package of 2019
An introduction to my favourite tool or package for 2019.
John P. Morrissey
Dec 28, 2019 · Last updated on Jan 3, 2022 3 min read Numerical Methods, Data Analytics
Favourite Tool/Package of 2019
VELaSSCo: Visualization for Extremely Large-scale Scientific Computing
The Vision of VELaSSCo is to provide new approaches for visual analysis of large-scale simulations for the Exabyte era.
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VELaSSCo: Visualization for Extremely Large-scale Scientific Computing
The VELaSSCo framework: a software platform for end-user analytics and visualization of large simulation datasets
VELaSSCo (Visual Analysis for Extremely Large-Scale Scientific Computing) is an EC FP7 project involving a consortium of seven European partners.
G. Filippone, A. Janda, P. Totoo, John P. Morrissey, K.J. Hanley, S. Papanicolopulos, J.Y. Ooi, A. Coll, M.A. Pasenau de Riera, J. Mora, J. Pérez, B. Lange, B. Raffin, I. Cores, T. Nguyen, A. Dietrich, F. Michel, T. Gierlinger, H. Dahl, O. Barrowclough, I. Martinez Rodriguez, T. Pariente Lobo, M.A. Tinte Garcia, C. Pumar Garcia, J. Haenisch, K. Bengtsson, O. Liestøl
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Transporting, handling and storing behaviour of iron ore fines
This project attempts to deal with the challenges associated with handling and storage of cohesive solids in the mining industry.
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Transporting, handling and storing behaviour of iron ore fines
Discrete Element Modelling of Iron Ore Pellets to Include the Effects of Moisture and Fines
Characterisation and calibration of iron ore fines for DEM simulations
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Discrete Element Modelling of Iron Ore Pellets to Include the Effects of Moisture and Fines
Granular Mechanics and Industrial Infrastructure Research Group
The Granular Mechanics and Industrial Infrastructure group is part of the School of Engineering at the University of Edinburgh. This research group uses a combination of experimental testing, analytical methods and simulations to investigate the behaviour of a diverse range of granular materials.
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Granular Mechanics and Industrial Infrastructure Research Group