GaAs

The 'GaAs' dataset contains training data derived from density functional theory calculations for the semiconductor gallium arsenide, and it is used to evaluate the performance of machine-learning-based interatomic potentials in simulating its properties.

Papers using GaAs (2)

Transferable Machine Learning Approach for Predicting Electronic Structures of Charged Defects2023Machine-Learning-Based Interatomic Potentials for Group IIB to VIA Semiconductors: Towards a Universal Model2023