Aitian Chen

Dr. Aitian Chen

orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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23 November 2017 in Advanced Functional Materials
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XGXinwei Guan
Xinwei Guan
WHWeijin Hu
Weijin Hu
AHAzimul Haque
Azimul Haque
NWNini Wei
Nini Wei
ZLZhixiong Liu
Zhixiong Liu
TWTom Wu
Tom Wu

19 April 2014 in Advanced Materials
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PLPeisen Li
Peisen Li
ACAitian Chen
Aitian Chen
DLDalai Li
Dalai Li
YZYonggang Zhao
Yonggang Zhao
SZSen Zhang
Sen Zhang
XHXiufeng Han
Xiufeng Han

29 October 2021 in Nature Communications
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HWHao Wu
Hao Wu
ACAitian Chen
Aitian Chen
PZPeng Zhang
Peng Zhang
HHHaoran He
Haoran He
JNJohn Nance
John Nance
KWKang Wang
Kang Wang
Giant spin-orbit torque (SOT) from topological insulators (TIs) provides an energy efficient writing method for magnetic memory, which, however, is still premature for practical applications due to the challenge of the integration with magnetic tunnel junctions (MTJs). Here, we demonstrate a functional TI-MTJ device that could become the core element of the future energy-efficient spintronic devices, such as SOT-based magnetic random-access memory (SOT-MRAM). The state-of-the-art tunneling magnetoresistance (TMR) ratio of 102% and the ultralow switching current density of 1.2 × 105 A cm−2 have been simultaneously achieved in the TI-MTJ device at room temperature, laying down the foundation for TI-driven SOT-MRAM. The charge-spin conversion efficiency θSH in TIs is quantified by both the SOT-induced shift of the magnetic switching field (θSH = 1.59) and the SOT-induced ferromagnetic resonance (ST-FMR) (θSH = 1.02), which is one order of magnitude larger than that in conventional heavy metals. These results inspire a revolution of SOT-MRAM from classical to quantum materials, with great potential to further reduce the energy consumption.

16 January 2019 in Nature Communications
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ACAitian Chen
Aitian Chen
YWYan Wen
Yan Wen
BFBin Fang
Bin Fang
YZYuelei Zhao
Yuelei Zhao
QZQiang Zhang
Qiang Zhang
YZYonggang Zhao
Yonggang Zhao
Electrically switchable magnetization is considered a milestone in the development of ultralow power spintronic devices, and it has been a long sought-after goal for electric-field control of magnetoresistance in magnetic tunnel junctions with ultralow power consumption. Here, through integrating spintronics and multiferroics, we investigate MgO-based magnetic tunnel junctions on ferroelectric substrate with a high tunnel magnetoresistance ratio of 235%. A giant, reversible and nonvolatile electric-field manipulation of magnetoresistance to about 55% is realized at room temperature without the assistance of a magnetic field. Through strain-mediated magnetoelectric coupling, the electric field modifies the magnetic anisotropy of the free layer leading to its magnetization rotation so that the relative magnetization configuration of the magnetic tunnel junction can be efficiently modulated. Our findings offer significant fundamental insight into information storage using electric writing and magnetic reading and represent a crucial step towards low-power spintronic devices.

30 November 2023 in Nature Communications
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YMYinchang Ma
Yinchang Ma
YYYuan Yan
Yuan Yan
LLLinqu Luo
Linqu Luo
SPSebastian Pazos
Sebastian Pazos
CZChenhui Zhang
Chenhui Zhang
XZXixiang Zhang
Xixiang Zhang
Layered thio- and seleno-phosphate ferroelectrics, such as CuInP2S6, are promising building blocks for next-generation nonvolatile memory devices. However, because of the low Curie point, the CuInP2S6-based memory devices suffer from poor thermal stability (<42 °C). Here, exploiting the electric field-driven phase transition in the rarely studied antiferroelectric CuCrP2S6 crystals, we develop a nonvolatile memristor showing a sizable resistive-switching ratio of ~ 1000, high switching endurance up to 20,000 cycles, low cycle-to-cycle variation, and robust thermal stability up to 120 °C. The resistive switching is attributed to the ferroelectric polarization-modulated thermal emission accompanied by the Fowler–Nordheim tunneling across the interfaces. First-principles calculations reveal that the good device performances are associated with the exceptionally strong ferroelectric polarization in CuCrP2S6 crystal. Furthermore, the typical biological synaptic learning rules, such as long-term potentiation/depression and spike amplitude/spike time-dependent plasticity, are also demonstrated. The results highlight the great application potential of van der Waals antiferroelectrics in high-performance synaptic devices for neuromorphic computing.

5 November 2015 in Advanced Materials
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ACAitian Chen
Aitian Chen
YZYonggang Zhao
Yonggang Zhao
PLPeisen Li
Peisen Li
XZXu Zhang
Xu Zhang
RPRenci Peng
Renci Peng
CNCe‐Wen Nan
Ce‐Wen Nan