Application of Machine Learning in Predicting the Properties of Two-Dimensional Semiconductor Materials.

Nanomaterials (Basel) · 2026 · PMC13258320 · PMID 42274656

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a decreasing trendno p-value reported

For the RMSE metric in Figure 5 b, the mean values show a decreasing trend, which likewise reflects increasing predictive accuracy.

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highly significantno p-value reported

Research Progress in Predicting the Key Properties of 2D Semiconductor Materials Bandgap and magnetism are two highly significant properties of 2D materials.

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