Kun Ren

Dr. Kun Ren


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

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5 September 2019 in MRS Bulletin
Verified
Journal Article
Closed access
PDF file
MZMin Zhu
Min Zhu
KRKun Ren
Kun Ren
ZSZhitang Song
Zhitang Song

26 March 2018 in Applied Physics Letters
Verified
Journal Article
Closed access
PDF file
YWYong Wang
Yong Wang
YZYonghui Zheng
Yonghui Zheng
GLGuangyu Liu
Guangyu Liu
TLTao Li
Tao Li
TGTianqi Guo
Tianqi Guo
ZSZhitang Song
Zhitang Song
To bridge the gap of access time between memories and storage systems, the concept of storage class memory has been put forward based on emerging nonvolatile memory technologies. For all the nonvolatile memory candidates, the unpleasant tradeoff between operation speed and retention seems to be inevitable. To promote both the write speed and the retention of phase change memory (PCM), Sc doped Ge2Sb2Te5 (SGST) has been proposed as the storage medium. Octahedral Sc-Te motifs, acting as crystallization precursors to shorten the nucleation incubation period, are the possible reason for the high write speed of 6 ns in PCM cells, five-times faster than that of Ge2Sb2Te5 (GST) cells. Meanwhile, an enhanced 10-year data retention of 119 °C has been achieved. Benefiting from both the increased crystalline resistance and the inhibited formation of the hexagonal phase, the SGST cell has a 77% reduction in power consumption compared to the GST cell. Adhesion of the SGST/SiO2 interface has been strengthened, attributed to the reduced stress by forming smaller grains during crystallization, guaranteeing the reliability of the device. These improvements have made the SGST material a promising candidate for PCM application.

23 December 2020 in Nanoscale
Verified
Journal Article
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HHHaihua Hu
Haihua Hu
YZYun Zheng
Yun Zheng
KRKun Ren
Kun Ren
JWJieying Wang
Jieying Wang
YZYanhui Zhang
Yanhui Zhang
YJYong Jiang
Yong Jiang
Constructing carbon nanotube (CNT) based heterostructures has proven to be an effective way of improving the microwave absorption (MA) capability of these materials, regardless of whether the heterostructures are located on the inner or outer walls of the CNTs. However, the potential of the two sides of CNTs for constructing efficient MA heterostructures has not been compared, and the underlying mechanism behind this difference has not been determined. Therefore, CNT based heterostructures with Fe2O3 nanoparticles inside (Fe2O3-in-CNTs) and outside (Fe2O3-out-CNTs) of the CNTs were synthesized and characterized. The minimum reflection loss and maximum effective bandwidth of the Fe2O3-in-CNTs are −34.1 dB at 3.0 mm and 5.1 GHz at 2.6 mm, much better than those of the Fe2O3-out-CNTs. Stronger interfacial polarization at the inner surface of the CNTs than at the outer surface was confirmed using off-axis electron holography, which is regarded as the key factor that determines the excellent MA performance of the heterointerface constructed by the inner surface of the CNTs. The attractive potential of the inner surface of CNTs for constructing highly efficient MA heterostructures has, to our knowledge, not been proposed before, the findings of which can shed the light on the approach of developing CNT composited MA materials that have outstanding MA properties.

20 November 2018 in Nanoscale
Verified
Journal Article
Closed access
PDF file
KRKun Ren
Kun Ren
MZMin Zhu
Min Zhu
WSWenxiong Song
Wenxiong Song
SLShilong Lv
Shilong Lv
MXMengjiao Xia
Mengjiao Xia
ZSZhitang Song
Zhitang Song
Germanium chalcogenides, especially GeSe and GeTe alloys, have recently gained popularity because of their Ovonic threshold (volatile) and memory (non-volatile) switching properties, with great potential for electric storage applications. Materials designed in a pseudo-binary way may possess superior properties in their phase transition, e.g. GeTe–Sb2Te3 materials, and bring about revolutionary advances in optical storage. However, to date, the electrical switching behaviors of films of pseudo-binary GeSe–GeTe have not yet been studied, and neither have the structural characteristics. Herein, we present both the thermally and electrically induced switching behaviors of GeSe–GeTe film, as well as the structural evolution due to composition tuning. The crystallization temperature of GeSe–GeTe films increases with GeSe content quite sensitively. An atom-resolved picture of the GeSe–GeTe alloy with a state-of-the-art atomic mapping technology has been presented, where a randomly mixed arrangement of Se and Te atoms is determined unambiguously in Ge50Se13Te34 with a GeTe-like rhombohedral structure. The local structural motifs in GeSe–GeTe, more specifically, sixfold coordinated octahedra with a distinguished degree of Peierls distortion and geometric variety, are essential to understand its electric properties. GeSe–GeTe alloy, Ge50Se13Te34, based memory cells have been fabricated, showing a fast memory switching behavior and excellent retention of 10 years at 208 °C.

27 February 2019 in ACS Applied Materials & Interfaces
Verified
Journal Article
Closed access
YWYong Wang
Yong Wang
TGTianqi Guo
Tianqi Guo
GLGuangyu Liu
Guangyu Liu
TLTao Li
Tao Li
SLShilong Lv
Shilong Lv
ZSZhitang Song
Zhitang Song

12 February 2018 in Applied Physics Letters
Verified
Journal Article
Closed access
PDF file
KRKun Ren
Kun Ren
RLRuiheng Li
Ruiheng Li
XCXin Chen
Xin Chen
YWYong Wang
Yong Wang
JSJiabin Shen
Jiabin Shen
ZSZhitang Song
Zhitang Song
The nonlinear resistance change and small bit resolution of phase change memory (PCM) under identical operation pulses will limit its performance as a synaptic device. The octahedral Ti-Te units in Ti-Sb-Te, regarded as nucleation seeds, are degenerated when Ti is bonded with O, causing a slower crystallization and a controllable SET process in PCM cells. A linear resistance change under identical pulses, a resolution of ∼8 bits, and an ON/OFF ratio of ∼102 has been achieved in O-Ti-Sb-Te based PCM, showing its potential application as a synaptic device to improve recognition performance of the neural network.