SOURCE-LINKED INTELLIGENCE

Advanced Simulation Software With Patented Method Optimised For Battery Development

CORDIS · observation · Publication date unknown

in its patented method for the analytics of MD simulation outputs to provide automated detection of bonds and structures which can be analysed using Statistical Physics, Density-Functional Theory and Machine Learning. This enables R&D teams, even those without computational chemists, to optimise their materials by observing trends in properties before laboratory validation, saving lots of time and money in the process. The current pilot projects with EU-leading battery developers have highlighted improvements to be implemented in the simulation and user experience to fulfil our commercial potential. In this accelerator project, we will conduct key activities to bring Compular to TRL9 and start commercialisation. Planned critical developments include: (i) further enhancing our algorithms, simulation methods and machine learning capabilities (ii) improving the user experience with a local version of the software (for use on a local computer, without the cloud), increased cloud architecture’s security as well as a demo version. (iii) customer validations through the use of Compular i

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recordType

award

status

SIGNED

region

EU

value

2328679

unit

EUR