Machine learning-based ligand engineering of halide perovskite quantum dots for improving photoluminescence quantum yield

Halide perovskite quantum dots (h-PQDs) are the next-generation nanomaterials featuring excellent photonic properties and facile processability; however, effective passivation of their surface defects via high-affinity ligands remains a challenge for improving their structural stability and photonic...

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Bibliographic Details
Main Author: Cha, Seungjun
Other Authors: Kedar Hippalgaonkar
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/179691