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School of Chemical, Materials and Biological Engineering, University of Sheffield, Sheffield, S1 3JD, UK
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Current machine learning models for semiconductor bandgap prediction fall short when faced with the messy reality of experimental data, highlighting a critical need for more robust and generalizable learning strategies.
