Computational Collaboration Project No 5
CCP5 is the Collaborative Computational Project for computer simulation of condensed phases and is funded predominantly by the Engineering and Physical Sciences Research Council (EPSRC) of United Kingdom. It was founded more than 40 years ago to promote the involvement of UK scientists in collaborative research in this area. Please browse our website to find more about our activities, our projects and people. Join the network to find about new opportunities about PhD or PostDoc positions, student scholarships, conferences and workshops supported by CCP5. Researchers in universities and public research labs can use, free of charge, the vast collection of supported and contributed software for non-commercial purposes. Please note that you can get in touch with our software team for any problems related to currently supported software. CCP5 encourages industrial engagement in many ways – via our workshops and conferences, which often have dedicated industry days, our “Simulation for the Experimentalist and Industrialist” course, student bursary scheme, software and members’ expertise.
CCP5 covers computer simulation of condensed phase materials at length scales spanning from atomistic to mesoscopic levels. Materials of interest are such as liquids, polymers, solids, surface materials and macromolecules. The idea is to harness a variety of expertise among the Community Members and to foster collaborations in a friendly and cooperative environment so as to carry out world-class researches effectively, both in terms of costs and efforts. The UK has a large and successful research community engaged this area of work. CCP5 plays a key role in achieving communication across this large community. The Project has a high international profile: approximately 50 % of the large membership (currently around 1400) is from overseas.
CCP5 and PSDI
CCP5 is collaborating with PSDI on the creation of both technical and training resources. The CAMML – Chemistry and Materials Machine Learning School 2025 training course is being run by the Physical Sciences Data Infrastructure (PSDI) initiative in collaboration with AIchemy, with support from STFC-SCD, PSDS, CCP5 and CCP9 as a follow up to the very popular 2023 Machine learning for Atomistic Modelling Autumn School. This training is targeted towards PhD students, in particular those in the Materials and Molecular Simulations field, who have experience of coding but are not highly experienced with machine learning. The aim of this training is to introduce attendees to the latest methods of machine learning for the atomistic simulation of materials.