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Article
Deep reinforcement learning framework for end-to-end semiconductor process control
This work focuses on bringing state-of-the-art artificial intelligence and deep reinforcement learning to the manufacturing of semiconductor devices. The main goal of this research is to lay down the foundatio...
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Article
Open AccessTwo-dimensional materials for future information technology: status and prospects
Over the past 70 years, the semiconductor industry has undergone transformative changes, largely driven by the miniaturization of devices and the integration of innovative structures and materials. Two-dimensi...
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Article
Recent progress in single crystal perovskite X-ray detectors
Perovskites have attracted extensive attention as radiation detection material due to their long carrier diffusion length and lifetime, high absorption coefficient, and flexible manufacturing process. Compared...
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Chapter and Conference Paper
An Integrated All-Optical Multimodal Learning Engine Built by Reconfigurable Phase-Change Meta-Atoms
Optical computing is regarded as one of the most promising computing paradigms for solving the computational bottleneck and accelerating artificial intelligence in the post-Moore age. While reconfigurable opti...
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Article
Filling the gap: thermal properties and device applications of graphene
With the miniaturization and integration of electronic devices, the heat dissipation problems caused by higher power density are getting more serious, limiting the development of integrated circuits industry. ...