Development of AI-Based Material Design System to Accelerate Innovation in Organic Semiconductors for Next-Generation Organic Electronic Devices

Abstract

Organic semiconductors are next-generation semiconductors that can be applied to lightweight and flexible electronic devices, and the replacement of currently widely used inorganic semiconductors. In recent years, various organic semiconductors have continued to be developed for application in next-generation electronic devices such as organic transistors (OFETs), organic light-emitting diode devices (OLEDs), organic thin-film solar cells (OSCs) and perovskite solar cells (PSCs). Until now, the design of molecules to develop new materials to improve their properties has relied heavily on the expertise and experience of chemists. It is essential to develop materials using artificial intelligence (AI) and data-driven approaches to accelerate their development. The goal of this research project is to develop an AI-based material design model for the development of new organic semiconductor materials with high carrier mobilities that can be applied to OFETs, OLEDs, OSCs, and PSCs.

Document Details

Document Type
DoD Grant Award
Publication Date
Feb 06, 2025
Source ID
FA23862514007

Entities

People

  • Takashi Okubo

Organizations

  • Air Force Office of Scientific Research
  • Kindai University
  • United States Air Force

Tags

Fields of Study

  • Materials science

Readers

  • Distributed Systems and Data Platform Development
  • Semiconductor Device Technology
  • Solar Photovoltaics and Thermoelectric Devices.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Microelectronics