Study on Thin-Film Transistor and Circuit Design Using Artificial Intelligence

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Authors: Manoharan S.
Cited by: 0
References: 10

Abstract

This paper reviews the detailed inspection of the current situation of thin-film transistors (TFT) and circuit design using AI, its widespread applications, and the future changes that are about to take place in this field. In liquid crystal display (LCD) systems, thin-film transistors have bridged the gap between the technologies used in this application and have been employed in a wide variety of areas, such as flexible electronics, biological sensing, and integrated IoT platforms. The focus of the paper is on the areas where TFT is heading rather than those it has already traversed. A close look at the sectors reveals that high-resolution displays, where TFT is integrated, result from some vibrant circuits made on flexible substrates, which would not be possible without TFT. Artificial intelligence can be applied to predict and enhance manufacturing efficiency and to estimate costs more accurately. Integrating TFT thin-film transistors with AI integrated circuits in future electronic devices will represent a significant advancement in the field. The AI built-in circuit type augmented by thin-film transistors would unlock visionary progress in entrenched high-tech areas and provide a unique and innovative gateway for businesses and researchers.

Fields of Study & Subjects

Thin-Film Transistor Technologies Advanced Sensor and Energy Harvesting Materials Internet of Things and AI

Publication details

Journal / source
Journal of Electronics and Informatics
Volume
7
Issue
4
Pages
298–315
Publication date
10 January 2026