most citedExploring effective charge in electromigration using machine learning

27 citations · 37 across the 4 of their papers we have counts for

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physics.comp-ph2019

The Materials Simulation Toolkit for Machine Learning (MAST-ML): an automated open source toolkit to accelerate data-driven materials research

Ryan Jacobs, Tam Mayeshiba, Ben Afflerbach +5

As data science and machine learning methods are taking on an increasingly important role in the materials research community, there is a need for the development of machine learni…