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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
Vertical iontronic energy storage based on osmotic effects and electrode redox reactions
Making salinity gradient energy practical is a great challenge. Despite recent advancements, the practicality of osmotic energy for portable electronics remains doubtful due to its limited power output and por...
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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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Article
Open AccessThe Roadmap of 2D Materials and Devices Toward Chips
This review introduces the potential of 2D electronics for post-Moore era and discusses their current progress in digital circuits, analog circuits, heterogeneous integration,...
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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
Open AccessCellular automata imbedded memristor-based recirculated logic in-memory computing
Memristor-based circuits offer low hardware costs and in-memory computing, but full-memristive circuit integration for different algorithm remains limited. Cellular automata (CA) has been noticed for its well-...
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Article
Open AccessSoft Electronics for Health Monitoring Assisted by Machine Learning
This review introduces soft electronics for health monitoring assisted by machine learning, and discusses soft materials, physiological signals, and machine learning algorithms...
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Article
Mixed-modality speech recognition and interaction using a wearable artificial throat
Researchers have recently been pursuing technologies for universal speech recognition and interaction that can work well with subtle sounds or noisy environments. Multichannel acoustic sensors can improve the ...
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Article
Open AccessBreathable Electronic Skins for Daily Physiological Signal Monitoring
This work reviews the development of breathable electronic skins (e-skins) for daily physiological signal monitoring in recent years.
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Article
Vertical MoS2 transistors with sub-1-nm gate lengths
Ultra-scaled transistors are of interest in the development of next-generation electronic devices1–3. Although atomically thin molybdenum disulfide (MoS2) transistors have been reported4, the fabrication of devic...
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Article
Open AccessA Better Zn-Ion Storage Device: Recent Progress for Zn-Ion Hybrid Supercapacitors
The advances of electrode materials, energy storage mechanisms, electrolytes and applications for Zn-ion hybrid supercapacitors (ZHSCs) are comprehensively...
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Chapter
Sensor-Assisted Next-Generation Diagnostics: Emerging Concepts, Biomarkers, Technologies, and Challenges
The evolution of medical diagnosis has continued to broaden our understanding of diseases. The development of various omics technologies and the continuous advancement of medical sensor technology are pushing ...
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Chapter
Biocompatible Sensors Are Revolutionizing Healthcare Technologies
Sensors bridge the gap between disease diagnosis and the attainability of physiological indicators. The Internet of Things (IoT) and artificial intelligence algorithms have become the core of new-generation he...
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Article
Open AccessObservation of negative capacitance in antiferroelectric PbZrO3 Films
Negative capacitance effect in ferroelectric materials provides a solution to the energy dissipation problem induced by Boltzmann distribution of electrons in conventional electronics. Here, we discover that b...
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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. ...
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Article
Au-decorated porous structure graphene with enhanced sensing performance for low-concentration NO2 detection
A recent progress in new emerging two-dimensional (2D) materials has provided promising opportunity for gas sensing in ultra-low detectable concentration. In this work, we have demonstrated a flexible NO2 gas sen...
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Article
Open AccessStable InSe transistors with high-field effect mobility for reliable nerve signal sensing
Among two-dimensional layered semiconductors, indium selenide (InSe) is one of the most promising materials with absolute advantages in field-effect transistors (FETs) because of its high electron mobility and...
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Article
Simultaneous synthesis and integration of two-dimensional electronic components
Two-dimensional (2D) materials such as transition metal chalcogenides can be used to create different components of electronic devices, including semiconducting channels and metallic electrodes and interconnec...
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Article
Open AccessA hardware Markov chain algorithm realized in a single device for machine learning
There is a growing need for develo** machine learning applications. However, implementation of the machine learning algorithm consumes a huge number of transistors or memory devices on-chip. Develo** a mac...
