Welcome to CCC-ParaSolS

CCC-ParaSolS is a two-year project — January 2025 to December 2026 — funded by the Science and Technology Facilities Council (STFC) to create a Collaborative Computational Community in particulate solids simulations.

Particulate solids (granular materials) encompass natural soil deposits, pharmaceutical powders, food ingredients (e.g., powdered milk, flour), aggregates and cement used in construction, etc. Particulate solids are often inputs to manufacturing processes or are produced as intermediate/final products and as such, they have significant economic and societal importance.

For example, they are fundamental to the UK chemical & pharmaceutical industry which annually generates over £60bn of exports and directly employs more than 130,000 people across over 4,000 businesses.

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The CCC-ParaSolS Community

Particulate solids form complex systems with material behaviours that are difficult to understand and predict. Particulate solids simulations explicitly model particles and their interactions to provide insights into granular behaviour that are difficult, or impossible, to obtain experimentally.

Learn how the CCC-ParaSolS Community can help understand and simulate particulate solids using open-source technologies.

Posts

All the latest news and posts from the CCC-ParaSolS community

Software

Open-source DEM tools for the Community

Learn about the various DEM software that will be supported through CCC-ParaSolS

DEM Codes

Community Values

Openness

Data are most useful when they are widely available and easy to use. We promote the sharing of tools and data for the benefit of all.

Scientific Transparency

Transparency is necessary for reproducible science. We advocate for decisions, methods and deviations to be clear and transparent in a workflow from the planning phase, to the retrieval and analysis of data, to the final output.

Reproducible Research

No method or analytical procedure is perfect. We value consideration of the strengths and limitations of each method or analysis. This attitude helps researchers choose methods that provide robust results for their specific question.