Organic image sensor, Organic photodiode, Organic semiconductor, Patterning process
Abstract
As interest in applications in biomedicine, education, environmental monitoring, optical communications, pharmaceutics and machine vision grows, interest in image sensors are growing. However, in order to apply the image sensor to various applications, there are many limitations such as the thick thickness of Si (>3 ㎛), the need for color filters for the color selectivity, and insufficient mechanical properties. Organic semiconductors are a very attractive material to cover these problems. In this paper, we present the mechanism and manufacturing process of color-selective photodiode using organic semiconductor.
Table Of Contents
List of Contents Abstract ·································································································· i List of contents ······················································································· ii List of tables ··························································································· iii List of figures ························································································· vi Part 1. Part 1. Facile tuning the detection spectrum of Organic Thin Film Photodiode via Selective Exciton-Activation 1.1 INTRODUCTION ································································································ 8 1.2 Results & Discussion························································································· 10 1.3 Conclusion········································································································ 21 Part 2. Surfactant-Induced Solubility Control to Realize Water-Processed High Precision Patterning of Polymeric Semiconductors for Full Color Organic Image Sensor 2.1 INTRODUCTION································································································· 31 2.2 Results & Discussion·························································································· 33 2.3 Conclusion········································································································ 47