78 citations · 142 across the 7 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
physics.comp-ph2019★ 78 cited
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…
cond-mat.mtrl-sci2019★ 27 cited
Exploring effective charge in electromigration using machine learning
Yu-chen Liu, Benjamin Afflerbach, Ryan Jacobs +2
The effective charge of an element is a parameter characterizing the electromgration effect, which can determine the reliability of interconnection in electronic technologies. In t…