Application of Machine learning in Semiconductor based devices
Application of Machine Learning in Semiconductor-Based Devices
Machine learning (ML) is revolutionizing semiconductor device design, manufacturing, and performance optimization. In design, ML models accelerate the development of advanced materials, predict device behavior, and optimize parameters for efficiency and performance. During manufacturing, ML enhances process control by identifying defects, optimizing yield, and improving wafer fabrication through predictive analytics and anomaly detection. For device performance, ML enables intelligent tuning, adaptive control systems, and predictive maintenance in applications like power electronics, photonic circuits, and sensors. ML also plays a crucial role in accelerating R&D for next-generation semiconductors, fostering innovations in energy efficiency, speed, and scalability.
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