MODEL, GUESS, CHECK: Wordle as a primer on active learning for materials research  

作　　者：Keith A.Brown 

机构地区：[1]Department of Mechanical Engineering,Physics Department,and Division of Materials Science&Engineering,Boston University,Boston,MA,USA

出　　处：《npj Computational Materials》2022年第1期937-939,共3页计算材料学（英文）

摘　　要：Research and games both require the participant to make a series of choices.Active learning is a process borrowed from machine learning for algorithmically making choices that has become increasingly used to accelerate materials research.While this process may seem opaque to researchers outside the field of machine learning,examining active learning in games provides an accessible way to showcase the process and its virtues.Here,we examine active learning through the lens of the game Wordle to both explain the active learning process and describe the types of research questions that arise when using active learning for materials research.

关 键 词：Wordle LEARNING OUTSIDE 

分 类 号：TB30[一般工业技术—材料科学与工程]