Machine learning-assisted synthesis of new materials has been an ongoing hot topic. Luminescent Ag–Zn–In–S quaternary semiconductor quantum dot thin films have great application potential in many fields because of their excellent photoelectric performance. In this study, an environmentally friendly ionic liquid-assisted approach was employed to prepare high-performance Ag–Zn–In–S luminescent thin films, and machine learning methods were applied to screen the optimal preparation conditions. The photoluminescence (PL) performance, crystal structure, and morphology of the thin films were also been studied. The initial data set was obtained by high-throughput experiments. By comparing machine learning algorithms of Xgboost, Random Forest, Bagging, SVM, Extra Tree, and Gradient Boosting, the Random Forest achieved the best accuracy (r = 0.84, R 2 = 0.847) and was selected to predict the optimal preparation conditions of Ag–Zn–In–S quaternary quantum dot thin films. The machine learning predicted results are in great agreement with the subsequent experimental results, which verifies the accuracy and effectiveness of the machine learning model. This study offers a theoretical foundation for preparing optimal inorganic quantum dot luminescent materials using machine learning.
Scintillators with high X-ray imaging performance are highly desirable. Traditional inorganic scintillators are restricted by the rigorous preparation conditions and easy deliquescence, while organic scintillators suffered from a low X-ray absorption coefficient and low energy resolution. Metal–organic scintillators were developed to overcome the above-mentioned disadvantages, but they were still limited by the inherent low X-ray attenuation performance of organic ligands and the low energy transfer efficiency between the absorption center and the luminescent center. In this work, two one-dimensional linear lanthanide-based scintillating metal–organic coordination polymers (CPs) were developed by a simple and controllable one-step solvothermal method. High-Z lanthanide atoms could efficiently transform the high-energy X-ray to characteristic visible light via the energy bridge effect of organic ligands, which improved the conversion efficiency to enhance light emission. To evaluate the X-ray imaging performance, scintillating CPs were prepared into thin films, which exhibited relatively high spatial resolution. Considering the good X-ray irradiation stability and humidity stability, the lanthanide scintillating CPs are believed to be very promising materials for X-ray imaging.
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