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Qi Liu

Researcher at Fudan University

Publications -  494
Citations -  16543

Qi Liu is an academic researcher from Fudan University. The author has contributed to research in topics: Resistive random-access memory & Neuromorphic engineering. The author has an hindex of 55, co-authored 433 publications receiving 11785 citations. Previous affiliations of Qi Liu include Chinese Academy of Sciences & Anhui University.

Papers
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Fully room-temperature-fabricated nonvolatile resistive memory for ultrafast and high-density memory application.

TL;DR: The Ag/ZnO:Mn/Pt device represents an ultrafast and highly scalable memory element for developing next generation nonvolatile memories and a model concerning redox reaction mediated formation and rupture of Ag bridges is suggested to explain the memory effect.
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Real-time observation on dynamic growth/dissolution of conductive filaments in oxide-electrolyte-based ReRAM.

TL;DR: It is found that CFs are found to start growing from the anode rather than having to reach the cathode and grow backwards, and a new mechanism based on local redox reactions inside the oxide-electrolyte is proposed.
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Recommended Methods to Study Resistive Switching Devices

TL;DR: This manuscript describes the most recommendable methodologies for the fabrication, characterization, and simulation of RS devices, as well as the proper methods to display the data obtained.
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Controllable Growth of Nanoscale Conductive Filaments in Solid-Electrolyte-Based ReRAM by Using a Metal Nanocrystal Covered Bottom Electrode

TL;DR: A novel approach to resolve this challenge by adopting a metal nanocrystal (NC) covered bottom electrode (BE) to replace the conventional ReRAM BE, which can control CF nucleation and growth to provide superior uniformity of RS properties.
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Two-dimensional materials for next-generation computing technologies.

TL;DR: The opportunities, progress and challenges of integrating two-dimensional materials with in-memory computing and transistor-based computing technologies, from the perspective of matrix and logic computing, are discussed.