Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
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Fitting into the collective: a cultural regulatory fit perspective on international student adaptation in China. [PDF]
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The impact of internship experience on professional identity, motivation, and attitude among aviation service majors: a cross-sectional empirical study. [PDF]
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Achievement Goal Profiles and Academic Performance in Mathematics and Literacy: A Person-Centered Approach in Third Grade Students. [PDF]
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