Search Results - "Wu, Hong‐Hui"

Simultaneously Dual Modification of Ni‐Rich Layered Oxide Cathode for High‐Energy Lithium‐Ion Batteries by Yang, Huiping, Wu, Hong‐Hui, Ge, Mingyuan, Li, Lingjun, Yuan, Yifei, Yao, Qi, Chen, Jie, Xia, Lingfeng, Zheng, Jiangming, Chen, Zhaoyong, Duan, Junfei, Kisslinger, Kim, Zeng, Xiao Cheng, Lee, Wah‐Keat, Zhang, Qiaobao, Lu, Jun

“…A critical challenge in the commercialization of layer‐structured Ni‐rich materials is the fast capacity drop and voltage fading due to the interfacial…”
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Room‐Temperature Symmetric Giant Positive and Negative Electrocaloric Effect in PbMg0.5W0.5O3 Antiferroelectric Ceramic by Li, Junjie, Wu, Hong‐Hui, Li, Jianting, Su, Xiaopo, Yin, Ruowei, Qin, Shiqiang, Guo, Dong, Su, Yanjing, Qiao, Lijie, Lookman, Turab, Bai, Yang

“…As an emerging solid‐state refrigeration technology with zero‐emission and high energy conversion efficiency, there is a compelling need for ferroelectric…”
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Machine Learning‐Assisted Property Prediction of Solid‐State Electrolyte by Li, Jin, Zhou, Meisa, Wu, Hong‐Hui, Wang, Lifei, Zhang, Jian, Wu, Naiteng, Pan, Kunming, Liu, Guilong, Zhang, Yinggan, Han, Jiajia, Liu, Xianming, Chen, Xiang, Wan, Jiayu, Zhang, Qiaobao

“…Machine learning (ML) exhibits substantial potential for predicting the properties of solid‐state electrolytes (SSEs). By integrating experimental or/and…”
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Lithiophilic N-doped carbon bowls induced Li deposition in layered graphene film for advanced lithium metal batteries by Feng, Xiaoyu, Wu, Hong-Hui, Gao, Biao, Świętosławski, Michał, He, Xin, Zhang, Qiaobao

“…Lithium (Li) metal with high theoretical capacity and low electrochemical potential is the most ideal anode for next-generation high-energy batteries. However,…”
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Anion and cation substitution in transition-metal oxides nanosheets for high-performance hybrid supercapacitors by Li, Jinghua, Liu, Zaichun, Zhang, Qiaobao, Cheng, Yong, Zhao, Bote, Dai, Shuge, Wu, Hong-Hui, Zhang, Kaili, Ding, Dong, Wu, Yuping, Liu, Meilin, Wang, Ming-Sheng

“…Anion and cation substitution is an effective way in modulating electrochemical properties of electrode materials to achieve enhanced performance. Herein, we…”
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Reversing Interfacial Catalysis of Ambipolar WSe2 Single Crystal by Wang, Zegao, Wu, Hong‐Hui, Li, Qiang, Besenbacher, Flemming, Li, Yanrong, Zeng, Xiao Cheng, Dong, Mingdong

“…An improved understanding of the origin of the electrocatalytic activity is of importance to the rational design of highly efficient electrocatalysts for the…”
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Strongly Coupled MoS2 Nanocrystal/Ti3C2 Nanosheet Hybrids Enable High‐Capacity Lithium‐Ion Storage by Hu, Zhongli, Kuai, Xiaoxiao, Chen, Juntong, Sun, Pengfei, Zhang, Qiaobao, Wu, Hong‐Hui, Zhang, Li

“…Smart integration of transition‐metal sulfides/oxides/nitrides with the conductive MXene to form hybrid materials is very promising in the development of…”
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Neural Stem Cells Transfected with Reactive Oxygen Species–Responsive Polyplexes for Effective Treatment of Ischemic Stroke by Jiang, Xin‐Chi, Xiang, Jia‐Jia, Wu, Hong‐Hui, Zhang, Tian‐Yuan, Zhang, Dan‐Ping, Xu, Qian‐Hao, Huang, Xiao‐Li, Kong, Xiang‐Lei, Sun, Ji‐Hong, Hu, Yu‐Lan, Li, Kai, Tabata, Yasuhiko, Shen, You‐Qing, Gao, Jian‐Qing

“…Neural stem cells (NSCs), capable of ischemia‐homing, regeneration, and differentiation, exert strong therapeutic potentials in treating ischemic stroke, but…”
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Influence of Ni4Ti3 precipitation on martensitic transformations in NiTi shape memory alloy: R phase transformation by Zhu, Jiaming, Wu, Hong-Hui, Wu, Yuan, Wang, Haoliang, Zhang, Tianlong, Xiao, Hu, Wang, Yunzhi, Shi, San-Qiang

“…Precipitation of Ni4Ti3 is effective in tuning martensitic transformations (MTs) in NiTi shape memory alloys (SMAs). However, several fundamental issues…”
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Pseudo-first-order phase transition for ultrahigh positive/negative electrocaloric effects in perovskite ferroelectrics by Wu, Hong-Hui, Zhu, Jiaming, Zhang, Tong-Yi

“…The electrocaloric effect of ferroelectric materials, which occurs significantly near the first-order paraelectric/ferroelectric transition (FOPFT) Curie…”
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Alkali-deficiency driven charged out-of-phase boundaries for giant electromechanical response by Wu, Haijun, Ning, Shoucong, Waqar, Moaz, Liu, Huajun, Zhang, Yang, Wu, Hong-Hui, Li, Ning, Wu, Yuan, Yao, Kui, Lookman, Turab, Ding, Xiangdong, Sun, Jun, Wang, John, Pennycook, Stephen J.

“…Traditional strategies for improving piezoelectric properties have focused on phase boundary engineering through complex chemical alloying and phase control…”
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Effects of stacking fault energy on the deformation behavior of CoNiCrFeMn high-entropy alloys: A molecular dynamics study by Zheng, Tengfei, Lv, Jiecheng, Wu, Yuan, Wu, Hong-Hui, Liu, Shaofei, Tang, Jianguo, Zhou, Meisa, Wang, Hui, Liu, Xiongjun, Jiang, Suihe, Lu, Zhaoping

“…Tailoring stacking fault energy (SFE) is an effective way for enhancing mechanical properties of certain high entropy alloys (HEAs) such as the prototype…”
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A quantitative relation for the ductile-brittle transition temperature in pipeline steel by Shang, Chunlei, Zhu, Dexin, Wu, Hong-Hui, Bai, Penghui, Hou, Faguo, Li, Jiaye, Wang, Shuize, Wu, Guilin, Gao, Junheng, Zhou, Xiaoye, Lookman, Turab, Mao, Xinping

“…An accurate description of pipeline steel at low temperatures requires a comprehensive understanding of its ductile-brittle transition temperature (DBTT). In…”
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A hybrid machine learning model for predicting continuous cooling transformation diagrams in welding heat-affected zone of low alloy steels by Geng, Xiaoxiao, Mao, Xinping, Wu, Hong-Hui, Wang, Shuize, Xue, Weihua, Zhang, Guanzhen, Ullah, Asad, Wang, Hao

“…•The hybrid machine learning model is established to predict SH-CCT diagrams of steels.•The predicted values of models have a high consistency with the…”
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Room temperature electrofreezing of water yields a missing dense ice phase in the phase diagram by Zhu, Weiduo, Huang, Yingying, Zhu, Chongqin, Wu, Hong-Hui, Wang, Lu, Bai, Jaeil, Yang, Jinlong, Francisco, Joseph S., Zhao, Jijun, Yuan, Lan-Feng, Zeng, Xiao Cheng

“…Water can freeze into diverse ice polymorphs depending on the external conditions such as temperature ( T ) and pressure ( P ). Herein, molecular dynamics…”
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Aluminum and Nitrogen Codoped Graphene: Highly Active and Durable Electrocatalyst for Oxygen Reduction Reaction by Qin, Yong, Wu, Hong-Hui, Zhang, Lei A, Zhou, Xiao, Bu, Yunfei, Zhang, Wei, Chu, Fuqiang, Li, Yutong, Kong, Yong, Zhang, Qiaobao, Ding, Dong, Tao, Yongxin, Li, Yongxin, Liu, Meilin, Zeng, Xiao Cheng

“…The development of a highly active and exceedingly durable electrocatalyst at low cost for the oxygen reduction reaction (ORR) is extremely desirable but…”
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First-principle study on the segregation and strengthening behavior of solute elements at grain boundary in BCC iron by Wang, Feiyang, Wu, Hong-Hui, Zhou, Xiaoye, Bai, Penghui, Shang, Chunlei, Wang, Shuize, Wu, Guilin, Gao, Junheng, Zhao, Haitao, Zhang, Chaolei, Mao, Xinping

“…•The segregation and strengthening effects of 33 solutes were studied.Solute segregation energy correlates negatively with atomic radius•Segregated Ni, Co, Ti,…”
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Machine Learning-Assisted Low-Dimensional Electrocatalysts Design for Hydrogen Evolution Reaction by Li, Jin, Wu, Naiteng, Zhang, Jian, Wu, Hong-Hui, Pan, Kunming, Wang, Yingxue, Liu, Guilong, Liu, Xianming, Yao, Zhenpeng, Zhang, Qiaobao

“…Highlights The process of machine learning is introduced in detail. Recent developments in machine learning for low-dimensional electrocatalysts are briefly…”
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Dissecting the influence of nanoscale concentration modulation on martensitic transformation in multifunctional alloys by Zhu, Jiaming, Wu, Hong-Hui, Yang, Xu-Sheng, Huang, He, Zhang, Tong-Yi, Wang, Yunzhi, Shi, San-Qiang

“…Nanoscale concentration modulation (CM) is a novel and effective approach of manipulating martensitic transformations (MTs) for developing next-generation…”
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Methane Concentration in the Heartwood of Living Trees and Estimated Methane Emission on Stems in Upland Forests by Wang, Zhi-Ping, Li, Huan-Long, Wu, Hong-Hui, Han, Shi-Jie, Huang, Jian-Hui, Zhang, Xi-Mei, Han, Xing-Guo

“…The stems of living trees in upland forests might contribute to the global methane (CH 4 ) source, but the contribution is poorly understood. We investigated…”
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