Yijiao Wang
Peking University
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Featured researches published by Yijiao Wang.
international electron devices meeting | 2008
Bin Gao; Shimeng Yu; Nuo Xu; L.F. Liu; Bing Sun; Xiaohui Liu; Runze Han; Jinfeng Kang; Bin Yu; Yijiao Wang
This paper presents a unified physical model to elucidate the resistive switching behavior of metal-oxide-based resistive random access memory (RRAM) devices using the ion-transport-recombination model. In this model, the rupture of conductive filaments is caused by recombination of oxygen ions and electron-low-occupied oxygen vacancies. The transport equations of interstitial oxygen ions in the oxide matrix are introduced to quantitatively investigate the reset speed and other properties such as uniformity, endurance, and reset current. The proposed mechanism was verified by experiments.
international electron devices meeting | 2011
B. Chen; Yang Lu; Bin Gao; Yihan Fu; Feifei Zhang; Peng Huang; Yuansha Chen; L.F. Liu; Xiaohui Liu; Jinfeng Kang; Yijiao Wang; Z. Fang; HongYu Yu; X. Li; Xin Peng Wang; Navab Singh; Guo-Qiang Lo; D. L. Kwong
We report, for the first time, three types of endurance failure behaviors in TMO based RRAM. New physical mechanisms are proposed to clarify the physical origins of these endurance failures. A physically-based optimized switching mode is developed to improve the endurance of TMO-RRAM. A significantly enhanced endurance of >10<sup>9</sup> switching cycles was demonstrated in the HfO<inf>x</inf>/TiO<inf>x</inf>/HfO<inf>x</inf>/TiO<inf>x</inf> devices.
international electron devices meeting | 2011
Bin Gao; Jinfeng Kang; Yuansha Chen; Feifei Zhang; B. Chen; Peng Huang; L. F. Liu; Xinye Liu; Yijiao Wang; Xuan Anh Tran; Z. R. Wang; Hao Yu; Albert Chin
A unified microscopic principle is proposed to clarify resistive switching behaviors of transition metal oxide based resistive random access memories (RRAM) for the first time. In this unified microscopic principle, both unipolar and bipolar switching characteristics of RRAM are correlated with the distribution of localized oxygen vacancies in the oxide switching layer, which is governed by the generation and recombination with dissociative oxygen ions. Based on the proposed microscopic principle, an atomistic simulation method is developed to evaluate critical memory performance, and successfully conduct the device optimization. The experimental data are well in line with the developed simulation method.
IEEE Electron Device Letters | 2011
B. Chen; Bin Gao; S.W. Sheng; L.F. Liu; Xiaohui Liu; Yuansha Chen; Yijiao Wang; Runze Han; Bin Yu; Jinfeng Kang
A new operation scheme on oxide-based resistive-switching devices [resistive random access memory (RRAM)] is proposed to improve the controllability of switching processes in order to achieve an improved memory performance. The improved device-to-device and cycle-to-cycle uniformity, reduced RESET current, and adjustable RHRS/RLRS ratio are demonstrated in the HfOx-based RRAM devices by using the new operation scheme, indicating the validity of the new operation scheme. The physical mechanism accounting for the new operation scheme effect is discussed.
IEEE Transactions on Nanotechnology | 2014
Peng Huang; Yijiao Wang; Haitong Li; Bin Gao; Bing Chen; Feifei Zhang; Lang Zeng; Gang Du; Jinfeng Kang; Xiaoyan Liu
In this paper, the ac electrical characteristics of metal oxide-based resistive random access memory are investigated based on a developed compact model and the experiment. The voltage-time dilemma phenomenon and the impacts of critical factors on resistive switching speed are addressed. Based on predictions of the model, the small parasitic capacitance, low target high resistance, and large thermal resistance are beneficial to accelerate the resistive switching speed both in SET and RESET processes. The high SET speed and low SET voltage can be achieved by tuning the activation energy of oxygen vacancies. While for the RESET process, the barriers of the release of oxygen ions from electrode and the hopping in resistive switching layer should be turned down simultaneously for high switching speed and low operation voltage.
Electrochemical and Solid State Letters | 2006
Ling-Gang Kong; Jinfeng Kang; Yijiao Wang; Lin Sun; L. F. Liu; X. Y. Liu; Xuewu Zhang; R.Q. Han
Room-temperature ferromagnetism (RTFM) is observed in the bulk Co x Ti 1 - x O 2 - δ (0.06 ≤ x ≤ 0.1) samples synthesized by the solid-state reaction method for the mixed powder of Ti and Co oxides, followed by a 500°C furnace annealing process in a 10% hydrogen-argon mixture of ambient gases. The X-ray diffraction, X-ray photoelectron spectroscopy, and measurements of magnetic susceptibility, Χ, vs temperature, T, indicate polycrystalline Co-doped TiO 2 anatase without Co clusters was fabricated. A phase transformation from CoTiO 3 to Co x Ti 1 - x O 2 - δ occurs after the hydrogenation process. These results are strong indications for formation of oxygen vacancies near the high spin Co 2 + sites, and the formed oxygen vacancies are essential for the generation of RTFM in Co x Ti 1 - x O 2 - δ . Based on these observations, ferromagnetism in bulk Co x Ti 1 - x O 2 - δ anatase could be attributed to the exchange interaction between Co 2 + mediated by oxygen vacancies near Co 2 + sites, not being caused by Co clusters.
Japanese Journal of Applied Physics | 2014
Yijiao Wang; Peng Huang; Zheng Xin; Lang Zeng; Xiaohui Liu; Gang Du; Jinfeng Kang
In this work, three dimensional technology computer-aided design (TCAD) simulations are performed to investigate the impact of random discrete dopant (RDD) including extension induced fluctuation in 14 nm silicon-on-insulator (SOI) gate–source/drain (G–S/D) underlap fin field effect transistor (FinFET). To fully understand the RDD impact in extension, RDD effect is evaluated in channel and extension separately and together. The statistical variability of FinFET performance parameters including threshold voltage (Vth), subthreshold slope (SS), drain induced barrier lowering (DIBL), drive current (Ion), and leakage current (Ioff) are analyzed. The results indicate that RDD in extension can lead to substantial variability, especially for SS, DIBL, and Ion and should be taken into account together with that in channel to get an accurate estimation on RDF. Meanwhile, higher doping concentration of extension region is suggested from the perspective of overall variability control.
symposium on vlsi technology | 2013
Yijiao Wang; Kangliang Wei; Xiaohui Liu; Gang Du; Jinfeng Kang
The impact of random interface trap (RIT) on the junctionless MOSFET (JL-FET) is investigated. Both acceptor-like and donor-like interface traps are considered to 22nm high-k metal gate (HKMG) junctionless structure and traditional inversion-mode FinFET. Fluctuations in threshold voltage, on current, leakage current, drain induced barrier lowering and subthreshold swing are analyzed. The results show that the position effect and type of interface traps (ITs) can induce different fluctuation for JL-FET and FinFET.
ieee international conference on solid-state and integrated circuit technology | 2012
Zhiyuan Lun; Gang Du; Jieyu Qin; Yijiao Wang; Juncheng Wang; Xiaohui Liu
Self-heating effect in SOI-LDMOS power devices has become a repeated discussion as the active silicon layer thickness is reduced and buried oxide layer thickness is increased. Heat dissipation and the self-heating effect become critical issues of SOI power devices. In this paper, simulations of self-heating effect under different thermal boundary conditions are performed. The influence of difference device parameters, including BOX (Buried OXide) thickness, trench length, SOI (Silicon On Insulator) thickness, source/drain lumped surface thermal resistance, are simulated to investigate their impact on self-heating effect. The work is intended to provide reference for device design and the optimization of source/drain contact in consideration of self-heating effect.
international conference on simulation of semiconductor processes and devices | 2014
Yijiao Wang; Peng Huang; Xiaohui Liu; Gang Du; Jinfeng Kang
A comprehensive time dependent three dimensional simulation framework for high-k degradation is developed. In this framework, the models that account for trap generation in high-k, capture/emission dynamic, and statistical variability are incorporated in the simulation. The influence of the trap generation model on distribution of traps, threshold voltage, and the amount of trapped charge is investigated in detail, thereby lay a solid foundation for predicting more accurate design margins at circuit/system level in the future.