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Material Science

Traditionally, discovering, designing and researching new materials was a matter of trial and error. However, with the recent developments in high performance computing (HPC) and cloud computing, fields such as quantum chemistry have seen simulations become a commonplace industry standard when developing materials and new pharmaceuticals.

The computational power needed to perform ab-initio molecular dynamics (AIMD) simulations is immense, and is typically only used in small systems. Cudo opens doors for technologies such as this to be used on a larger scale, offering advanced applications which can approximate the underlying models and equations. Solving these advanced problems can provide crucial insight into new materials at the atomic scale, which is necessary for innovation and pioneering within industry.

The Cudo Compute platform tackles the primary issues involved in the improvement of high performance computing for materials sciences. The biggest issue – pushing the boundaries of what is possible within the world of modeling, computation and simulation – hinges largely on the accessibility of the software which runs these simulations, to the scientists who are capable of running them. Putting the technology in the hands of those most capable of using it is a key feature of a decentralised platform.

Worldwide Collaboration
Distribute the computing, and your team. A decentralised platform means you no longer need to connect to on-premises servers to manage your workloads, so you can perform your simulations from around the globe.

To learn how to speed up your time to research and reduce your CO2 impact and costs, please register your interest.