Machine Learning-Based Prediction of Organic Solar Cell Performance Using Molecular Descriptors

Today's article comes from the International Journal of Emerging Research in Engineering, Science, and Management. The authors are Alshaikh et al., from Umm Al-Qura University, in Saudi Arabia. In this paper they use three different machine learning techniques to predict the performance of organic solar cells, directly from their molecular descriptors.

DOI: 10.58482/ijeresm.v4i4.4