Theory of Metal-Solid Electrolyte Interface

1988 ◽  
Vol 135 ◽  
Author(s):  
S.I. Kim ◽  
M. Seidl
Keyword(s):  
Solid Electrolyte ◽  
Double Layer ◽  
Numerical Solutions ◽  
Metal Electrode ◽  
Mobile Charge Carrier ◽  
Mobile Charge ◽  
Potential Of Zero Charge ◽  
Electrode Interface ◽  
Free Parameters ◽  
Dc Current

AbstractA comprehensive time independent theory of the solid electrolyte(SE)–metal electrode interface is presented, using the assumption that cations are the only mobile charge carrier in the electrolyte. The temperature and the dc current across the SE are the only free parameters for the solutions along with three intrinsic parameters which depend on the properties of the particular system. The phenomenological model of the interface double layer is based on the Gouy–Chapman–Stern model.The numerical solutions of the theory for porous tungstenzeolite system enables us to predict most of the properties in the SE system such as;the current–overpotential characteristics, the capacitances of the double layer, concentration profile in the diffusion layer, the potential profile across the interface, electrochemical exchange current, and the potential of zero charge(PZC) etc. An experimental technique to measure the PZC of SE systems has been also proposed.

scholarly journals The Coupling between Voltage Profiles and Mechanical Deformations in LAGP Solid Electrolyte During Li Plating and Stripping

2022 ◽  
Author(s):  
Bertan Ozdogru ◽  
Shubhankar Padwal ◽  
Batuhan Bal ◽  
Sandip Harimkar ◽  
Behrad Koohbor ◽  
...  
Keyword(s):  
Solid Electrolyte ◽  
Metal Electrode ◽  
Image Correlation ◽  
Mechanical Degradation ◽  
Sudden Increase ◽  
Mechanical Fracture ◽  
Mechanical Deformations ◽  
Symmetrical Cell ◽  
Electrode Interface ◽  
Temporal And Spatial

Chemo-mechanical degradation at the solid electrolyte – Li metal electrode interface is a bottleneck to improve cycle life of all-solid state Li-metal batteries. In this study, in operando digital image correlation (DIC) measurements provided temporal and spatial resolution of the chemo-mechanical deformations in LAGP solid electrolyte during the symmetrical cell cycling. The increase in strains in the interphase layer was correlated with the overpotential. The sudden increase in strains coincides with the mechanical fracture in LAGP detected by Micro CT. This work highlights the mechanical deformations in LAGP / Li interface and its coupling with the electrochemical behavior of the battery.

scholarly journals Probing the Na metal solid electrolyte interphase via cryo-transmission electron microscopy

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Bing Han ◽  
Yucheng Zou ◽  
Zhen Zhang ◽  
Xuming Yang ◽  
Xiaobo Shi ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Transmission Electron Microscopy ◽  
Solid Electrolyte ◽  
Solid Electrolyte Interphase ◽  
Metal Electrode ◽  
Liquid Electrolyte ◽  
Battery Materials ◽  
Cryogenic Transmission Electron Microscopy ◽  
Transmission Electron ◽  
Fluoroethylene Carbonate

AbstractCryogenic transmission electron microscopy (cryo-TEM) is a valuable tool recently proposed to investigate battery electrodes. Despite being employed for Li-based battery materials, cryo-TEM measurements for Na-based electrochemical energy storage systems are not commonly reported. In particular, elucidating the chemical and morphological behavior of the Na-metal electrode in contact with a non-aqueous liquid electrolyte solution could provide useful insights that may lead to a better understanding of metal cells during operation. Here, using cryo-TEM, we investigate the effect of fluoroethylene carbonate (FEC) additive on the solid electrolyte interphase (SEI) structure of a Na-metal electrode. Without FEC, the NaPF6-containing carbonate-based electrolyte reacts with the metal electrode to produce an unstable SEI, rich in Na2CO3 and Na3PO4, which constantly consumes the sodium reservoir of the cell during cycling. When FEC is used, the Na-metal electrode forms a multilayer SEI structure comprising an outer NaF-rich amorphous phase and an inner Na3PO4 phase. This layered structure stabilizes the SEI and prevents further reactions between the electrolyte and the Na metal.

scholarly journals Electrostatic and electrochemical charging mechanisms for electric-double-layer gating media based on a crystalline LaF3 solid electrolyte

APL Materials ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 061107
Author(s):  
Xi Zhang ◽  
Qian Wang ◽  
Junwei Huang ◽  
Kui Meng ◽  
Peng Chen ◽  
...  
Keyword(s):  
Solid Electrolyte ◽  
Double Layer ◽  
Electric Double Layer

scholarly journals Study of lithium glassy solid electrolyte/electrode interface by impedance analysis

2000 ◽  
Vol 23 (3) ◽  
pp. 179-183 ◽  
Author(s):  
A. Karthikeyan ◽  
P. Vinatier ◽  
A. Levasseur
Keyword(s):  
Solid Electrolyte ◽  
Impedance Analysis ◽  
Electrode Interface

Analysis of Double Layer and Adsorption Effects at the Alkaline Polymer Electrolyte-Electrode Interface

2011 ◽  
Vol 158 (11) ◽  
pp. B1423 ◽  
Author(s):  
Murat Ünlü ◽  
Daniel Abbott ◽  
Nagappan Ramaswamy ◽  
Xiaoming Ren ◽  
Sanjeev Mukerjee ◽  
...  
Keyword(s):  
Polymer Electrolyte ◽  
Double Layer ◽  
Adsorption Effects ◽  
Electrode Interface ◽  
Alkaline Polymer Electrolyte

Solvent-free synthesis of an ionic liquid integrated ether-abundant polymer as a solid electrolyte for flexible electric double-layer capacitors

2017 ◽  
Vol 5 (37) ◽  
pp. 19703-19713 ◽  
Author(s):  
Ruiqi Na ◽  
Ching-Wen Su ◽  
Yi-Han Su ◽  
Yu-Chun Chen ◽  
Yen-Ming Chen ◽  
...  
Keyword(s):  
Ionic Liquid ◽  
Solid Electrolyte ◽  
Double Layer ◽  
Electric Double Layer ◽  
Solid Electrolytes ◽  
High Energy ◽  
Solvent Free ◽  
Double Layer Capacitors ◽  
Solvent Free Synthesis ◽  
Electric Double Layer Capacitors

Capitalizing on ether groups, solvent-free synthesis produces ionic liquid integrated solid electrolytes for flexible capacitors delivering high energy and power.

scholarly journals Data Driven Solutions and Discoveries in Mechanics Using Physics Informed Neural Network

2020 ◽  
Author(s):  
Qi Zhang ◽  
Yilin Chen ◽  
Ziyi Yang
Keyword(s):  
Neural Network ◽  
Differential Equations ◽  
Automatic Differentiation ◽  
Numerical Solutions ◽  
Data Driven ◽  
Attractive Alternative ◽  
The Finite Element Method ◽  
The Neural Network ◽  
Engineering Problems ◽  
Free Parameters

Deep learning has achieved remarkable success in diverse computer science applications, however, its use in other traditional engineering fields has emerged only recently. In this project, we solved several mechanics problems governed by differential equations, using physics informed neural networks (PINN). The PINN embeds the differential equations into the loss of the neural network using automatic differentiation. We present our developments in the context of solving two main classes of problems: data-driven solutions and data-driven discoveries, and we compare the results with either analytical solutions or numerical solutions using the finite element method. The remarkable achievements of the PINN model shown in this report suggest the bright prospect of the physics-informed surrogate models that are fully differentiable with respect to all input coordinates and free parameters. More broadly, this study shows that PINN provides an attractive alternative to solve traditional engineering problems.

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