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The development of automated computational tools is required to accelerate the discovery of novel battery<br>materials. In this work, we design and implement a workflow, in the framework of Density Functional<br>Theory, which autonomously identifies materials to be used as intercalation electrodes in batteries, based<br>on descriptors like adsorption energies and diffusion barriers. A substantial acceleration for the calculations<br>of the kinetic properties is obtained due to a recentdoi:10.26434/chemrxiv.9971054.v1 fatcat:itk7em4kljecvp2nhgcvb5prqe