4 papers
Unraveling the Size Determination Mechanism of Nanocrystal Synthesis via Interpretable Neural Networks
Kai Gu, Haizheng Zhong
Deep learning models of nanocrystal synthesis enable the prediction of size and shape by encoding precursors and reaction conditions. However, their black-box nature hinders gainin…
A large-scale nanocrystal database with aligned synthesis and properties enabling generative inverse design
Kai Gu, Yingping Liang, Senliang Peng +3
The synthesis of nanocrystals has been highly dependent on trial-and-error, due to the complex correlation between synthesis parameters and physicochemical properties. Although dee…
Alcohol induced surface charging of colloidal quantum dots for controllable electrophoretic deposition processing
Jiaming Su, Kai Gu, Qingchen Wang +3
In this work, we report an alcohol-induced surface charging route of colloidal QDs to achieve controllable electrophoretic deposition processing. By adding a fixed amounts of alcoh…
Deep Learning Models for Colloidal Nanocrystal Synthesis
Kai Gu, Yingping Liang, Jiaming Su +7
Colloidal synthesis of nanocrystals usually includes complex chemical reactions and multi-step crystallization processes. Despite the great success in the past 30 years, it remains…