Matter of Opinion Machine learning for materials science: Barriers to broader adoption

Machine learning is on a bit of a tear right now, with advances that are infiltrating nearly every aspect of our lives. In the domain of materials science, this wave seems to be growing into a tsunami. Yet, there are still real hurdles that we face to maximize its benefit. This Matter of Opinion, crafted as a result of a workshop hosted by researchers at Sandia National Laboratories and attended by a cadre of luminaries, briefly summarizes our perspective on these barriers. By recognizing these problems in a community forum, we can share the burden of their resolution together with a common purpose and coordinated effort.

Automated summary

Machine learning is rapidly advancing and impacting various aspects of our lives. In the field of materials science, this progress is becoming a significant force. However, there are still obstacles that need to be overcome to maximize its benefits. This opinion piece summarizes the perspectives of researchers who attended a workshop, emphasizing the importance of collective efforts in resolving these challenges through community engagement.