Zhi Gen Yu

Zhi Gen Yu

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Zhi Gen Yu

Institute of Advanced Intelligence and Computing (IAIC), Agency for Science, Technology and Research, Singapore, Singapore

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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14 February 2019 in Advanced Energy Materials
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Journal Article
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TXTing Xiong
Ting Xiong
ZYZhi Gen Yu
Zhi Gen Yu
Haijun WuHaijun Wu
Haijun Wu
Yonghua DuYonghua Du
Yonghua Du
QXQidong Xie
Qidong Xie
JXJun Min Xue
Jun Min Xue

26 October 2022 in Nature
Verified
Journal Article
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XWXiaopeng Wang
Xiaopeng Wang
SXShibo Xi
Shibo Xi
PHPengru Huang
Pengru Huang
Yonghua DuYonghua Du
Yonghua Du
HZHaoyin Zhong
Haoyin Zhong
JXJun Min Xue
Jun Min Xue

16 August 2021 in Nature Communications
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Journal Article
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SCShuai Chen
Shuai Chen
ZAZachary H. Aitken
Zachary H. Aitken
SPSubrahmanyam Pattamatta
Subrahmanyam Pattamatta
ZWZhaoxuan Wu
Zhaoxuan Wu
ZYZhi Gen Yu
Zhi Gen Yu
Yong-Wei ZhangYong-Wei Zhang
Yong-Wei Zhang
Simultaneously enhancing strength and ductility of metals and alloys has been a tremendous challenge. Here, we investigate a CoCuFeNiPd high-entropy alloy (HEA), using a combination of Monte Carlo method, molecular dynamic simulation, and density-functional theory calculation. Our results show that this HEA is energetically favorable to undergo short-range ordering (SRO), and the SRO leads to a pseudo-composite microstructure, which surprisingly enhances both the ultimate strength and ductility. The SRO-induced composite microstructure consists of three categories of clusters: face-center-cubic-preferred (FCCP) clusters, indifferent clusters, and body-center-cubic-preferred (BCCP) clusters, with the indifferent clusters playing the role of the matrix, the FCCP clusters serving as hard fillers to enhance the strength, while the BCCP clusters acting as soft fillers to increase the ductility. Our work highlights the importance of SRO in influencing the mechanical properties of HEAs and presents a fascinating route for designing HEAs to achieve superior mechanical properties.

15 February 2024 in Nature Communications
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XZXin Zhang
Xin Zhang
HZHaoyin Zhong
Haoyin Zhong
QZQi Zhang
Qi Zhang
QZQihan Zhang
Qihan Zhang
CWChao Wu
Chao Wu
JXJun Min Xue
Jun Min Xue
Cobalt oxyhydroxide (CoOOH) is a promising catalytic material for oxygen evolution reaction (OER). In the traditional CoOOH structure, Co3+ exhibits a low-spin state configuration ( $${t}_{2{{{{{\rm{g}}}}}}}^{6}{e}_{{{{{{\rm{g}}}}}}}^{0}$$ t 2 g 6 e g 0 ), with electron transfer occurring in face-to-face $${t}_{2{{{{{\rm{g}}}}}}}^{*}$$ t 2 g * orbitals. In this work, we report the successful synthesis of high-spin state Co3+ CoOOH structure, by introducing coordinatively unsaturated Co atoms. As compared to the low-spin state CoOOH, electron transfer in the high-spin state CoOOH occurs in apex-to-apex $${e}_{{{{{{\rm{g}}}}}}}^{*}$$ e g * orbitals, which exhibits faster electron transfer ability. As a result, the high-spin state CoOOH performs superior OER activity with an overpotential of 226 mV at 10 mA cm−2, which is 148 mV lower than that of the low-spin state CoOOH. This work emphasizes the effect of the spin state of Co3+ on OER activity of CoOOH based electrocatalysts for water splitting, and thus provides a new strategy for designing highly efficient electrocatalysts.

22 April 2019 in Advanced Functional Materials
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LWLin Wang
Lin Wang
WLWugang Liao
Wugang Liao
SWSwee Liang Wong
Swee Liang Wong
ZYZhi Gen Yu
Zhi Gen Yu
SLSifan Li
Sifan Li
Kah-Wee ANGKah-Wee ANG
Kah-Wee ANG

1 June 2022 in Nature Communications
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BTBaoshan Tang
Baoshan Tang
HVHasita Veluri
Hasita Veluri
YLYida Li
Yida Li
ZYZhi Gen Yu
Zhi Gen Yu
MWMoaz Waqar
Moaz Waqar
ATAaron Voon-Yew Thean
Aaron Voon-Yew Thean
Realization of high-density and reliable resistive random access memories based on two-dimensional semiconductors is crucial toward their development in next-generation information storage and neuromorphic computing. Here, wafer-scale integration of solution-processed two-dimensional MoS2 memristor arrays are reported. The MoS2 memristors achieve excellent endurance, long memory retention, low device variations, and high analog on/off ratio with linear conductance update characteristics. The two-dimensional nanosheets appear to enable a unique way to modulate switching characteristics through the inter-flake sulfur vacancies diffusion, which can be controlled by the flake size distribution. Furthermore, the MNIST handwritten digits recognition shows that the MoS2 memristors can operate with a high accuracy of >98.02%, which demonstrates its feasibility for future analog memory applications. Finally, a monolithic three-dimensional memory cube has been demonstrated by stacking the two-dimensional MoS2 layers, paving the way for the implementation of two memristor into high-density neuromorphic computing system.