Machine learning guided microwave-assisted quantum dot synthesis and an indication of residual H2O2 in human teeth

Abstract

Machine learning approach was employed to guide the fabrication of blue carbon dots(CDs) with excellent result. The quantum yield of the CDs can increase up to 200% and can be used as fluorescent probes for bleaching teeth H2O2 detection.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 01, 2022
Source ID
10.1039/d2nr03718a

Entities

People

  • Juncheng Wang
  • Oliver Sanchez Solis
  • Peide Zhu
  • Quan Xu
  • Travis Shihao Hu
  • Weiye Zhang
  • Yaoyao Tang
  • Yuqi Zhang

Organizations

  • Beijing Municipal Natural Science Foundation
  • California State University
  • Military Health System
  • National Natural Science Foundation of China
  • National Science Foundation

Tags

Readers

  • Chemistry (specifically Chemical Fluorescence)
  • Neural Network Machine Learning.
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks
  • Quantum Computing