H. S. Dibbo

Machine-learning-driven investigation of dopant-induced modulation of electronic properties in two-dimensional SnO

The results demonstrate that machine learning can efficiently identify promising dopant configurations while providing reliable predictions of dopant-dependent material properties, and offers a practical approach for the computational design of doped 2D oxide semiconductors for future optoelectronic and sensing applica...