most citedMachine Learning Prediction of Charged Defect Formation Energies from Crystal Structures

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

cond-mat.mtrl-sci2025★ 6 cited

Machine Learning Prediction of Charged Defect Formation Energies from Crystal Structures

Shin Kiyohara, Chisa Shibui, Soungmin Bae +1

Recent advances in materials informatics have expanded the number of synthesizable materials. However, screening promising candidates, such as semiconductors, based on defect prope…