Team Member

The Zhao Group @UESTC is mainly engaged in the development of "High-throughput Experiment + Machine Learning" intelligent experimental platform and the applications of complex semiconductor materials and electronic devices. High-throughput experiments can realize the preparation and characterization of complex materials and devices, while machine learning provides the capability of real-time analysis, optimization and interpretation of big data produced by high-throughput experiments. The core tools of high-throughput experiments include automated multi-channel pipetting systems, drop/spin coating methods, fluorescence detection, UV-vis-IR absorption spectroscopy, photoelectric detection, expectation-maximization-based spectroscopy analysis, Gaussian-Process Regression algorithm, SHAP explainer etc.. Our devices include novel metal-halide perovskite semiconductors, organic semiconductors and colloidal quantum dots for photovoltaic, sensing and detection applications.