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北京大学 [7]
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期刊论文 [57]
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Influence of the SEI Formation on the Stability and Lithium Diffusion in Si Electrodes
期刊论文
ACS OMEGA, 36, 2022, 卷号: 7, 页码: 2147483647
作者:
Wu, Baolin
;
Chen CG(陈春光)
;
Danilov, Dmitri L.
;
Jiang, Ming
;
Raijmakers, Luc H. J.
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2022/10/23
Unrevealing the thermophysical properties and microstructural evolution of MgCl2-NaCl-KCl eutectic: FPMD simulations and experimental measurements
期刊论文
SOLAR ENERGY MATERIALS AND SOLAR CELLS, 2020, 卷号: 210, 页码: -
作者:
Li, XJ
;
Li, N
;
Liu, WH
;
Tang, ZF
;
Wang, JQ
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2021/09/06
MOLECULAR-DYNAMICS SIMULATIONS
TOTAL-ENERGY CALCULATIONS
TRANSPORT-PROPERTIES
LOCAL STRUCTURES
THERMAL-CONDUCTIVITY
CORROSION BEHAVIOR
MOLTEN CHLORIDE
SHEAR VISCOSITY
SALTS
Powerful predictability of FPMD simulations for the phase transition behavior of NaCl-MgCl2 eutectic salt
期刊论文
SOLAR ENERGY, 2020, 卷号: 209, 页码: 568-575
作者:
Xu, TR
;
Li, XJ
;
Guo, LL
;
Wang, F
;
Tang, ZF
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2021/09/06
MOLECULAR-DYNAMICS
TRANSPORT-PROPERTIES
LOCAL STRUCTURES
NACL
Insights into the solvation and dynamic behaviors of a lithium salt in organic- and ionic liquid-based electrolytes
期刊论文
PHYSICAL CHEMISTRY CHEMICAL PHYSICS, 2019, 卷号: 21, 期号: 35, 页码: 19216-19225
作者:
Tong, Jiahuan
;
Xiao, Xingqing
;
Liang, Xiaodong
;
von Solms, Nicolas
;
Huo, Feng
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  |  
浏览/下载:53/0
  |  
提交时间:2019/11/12
Li+ thorn diffusion kinetics of SnS2 nanoflowers enhanced by reduced graphene oxides with excellent electrochemical performance as anode material for lithium-ion batteries
期刊论文
JOURNAL OF ALLOYS AND COMPOUNDS, 2019, 卷号: 794, 页码: 285-293
作者:
Liu, Jifei
;
Qi, Yufeng
;
Fu, Bi
;
Dai, Jianfeng
;
Wang, Qing
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/11/15
Nanocomposites
Energy storage and conversion
Electrochemistry
Lithium-ion battery
Diffusion kinetics
Li+ diffusion kinetics of SnS2 nanoflowers enhanced by reduced graphene oxides with excellent electrochemical performance as anode material for lithium-ion batteries
期刊论文
Journal of Alloys and Compounds, 2019, 卷号: 794, 页码: 285-293
作者:
Liu, Jifei
;
Qi, Yufeng
;
Fu, Bi
;
Dai, Jianfeng
;
Wang, Qing
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2020/11/14
Additives
Anodes
Diffusion
Electric conductivity
Electrochemical impedance spectroscopy
Electrochemistry
Energy storage
Graphene
Ionic conduction
Ions
IV-VI semiconductors
Kinetics
Lithium-ion batteries
Nanocomposites
Nanoflowers
Reduced Graphene Oxide
Semiconducting tin compounds
Storage (materials)
Anode material for lithium ion batteries
Diffusion kinetics
Electrochemical energy storage
Electrochemical performance
Energy storage and conversions
Galvanostatic Intermittent Titration Techniques
Reduced graphene oxides (RGO)
Reversible specific capacity
Dynamic Adsorption of Ions into Like-Charged Nanospace: A Dynamic Density Functional Theory Study
期刊论文
LANGMUIR, 2019, 卷号: 35, 期号: 12, 页码: 4254-4262
作者:
Qing, Leying
;
Li, Yu
;
Tang, Weiqiang
;
Zhang, Duo
;
Han, Yongsheng
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2019/06/14
Diffusion Characteristics of Cr Dopant in Cr: ZnS Crystals via Laser Ablation-Inductively Coupled Plasma Mass Spectrometry Analysis
期刊论文
ATOMIC SPECTROSCOPY, 2019, 卷号: 40, 期号: 2, 页码: 49
作者:
Zhu, Yan
;
Li, Chaoyu
;
Chen, Min
;
Zhang, Guoxia
;
Mao, Chengwen
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2019/12/26
First-principles study on OH-functionalized 2D electrides: Ca2NOH and Y2C(OH)(2), promising two-dimensional monolayers for metal-ion batteries
期刊论文
Applied Surface Science, 2019, 卷号: 478, 页码: 459-464
作者:
D.D.Wang
;
H.B.Li
;
L.L.Zhang
;
Z.H.Sun
;
D.X.Han
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2020/08/24
OH-functionalized 2D electrides,Ca2NOH,Y2C(OH)(2),Adsorption and,diffusion of metal atoms,First-principles study,anode materials,na,electrons,surfaces,li,Chemistry,Materials Science,Physics
Simulation on Potassium Ion Concentration Profile of Engineered Stress Profile Glass by FDTD Method
期刊论文
JOURNAL OF INORGANIC MATERIALS, 2018, 卷号: 33, 期号: 6, 页码: 693, 698
作者:
Zheng Guo-Yuan
;
Li Jia-Cheng
;
Song Li-Xin
;
Zhang Tao
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2018/12/28
ion-exchange
Engineered Stress Profile glass
Finite-Difference Time-Domain method
strength
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