Towards Machine Learning Assisted Discovery of Organic Topological Materials

This perspective article describes our vision and proposal for the design and implementation of organic topological materials by using machine learning approach. We propose integrating advanced machine learning approaches with the state-of-the-art electronic simulation techniques to accelerate the discovery of organic topological materials which can lead to a new era of technologies in dissipationless nanoelectronics, solid-state spintronics, and quantum computing.