scholarly journals Correlating Li-Ion Solvation Structures and Electrode Potential Temperature Coefficients

2021 ◽  
Vol 143 (5) ◽  
pp. 2264-2271
Author(s):  
Hansen Wang ◽  
Sang Cheol Kim ◽  
Tomás Rojas ◽  
Yangying Zhu ◽  
Yanbin Li ◽  
...  
2019 ◽  
Vol 21 (4) ◽  
pp. 2115-2120
Author(s):  
A. Swiderska-Mocek ◽  
E. Rudnicka ◽  
A. Lewandowski

Here, single electrode potential temperature coefficients were estimated using negligible thermal diffusion potential assumption.


2016 ◽  
Vol 59 (5-7) ◽  
pp. 628-634 ◽  
Author(s):  
Mario El Kazzi ◽  
Izabela Czekaj ◽  
Erik J. Berg ◽  
Petr Novák ◽  
Matthew A. Brown

2020 ◽  
Author(s):  
Ioan-Bogdan Magdau ◽  
Thomas Miller

<div>Automated identification and classification of ion solvation sites in diverse chemical systems will improve the understanding and design of polymer electrolytes for battery applications. We introduce a machine learning approach to classify and characterize ion solvation environments based on feature vectors extracted from all-atom simulations. This approach is demonstrated in poly(3,4-propylenedioxythiophene), which is a promising candidate polymer binder for Li-ion batteries. In the dry polymer, four</div><div>distinct Li+ solvation environments are identified close to the backbone of the polymer. Upon swelling of the polymer with propylene carbonate solvent, the nature of Li+ solvation changes dramatically, featuring a rapid diversification</div><div>of solvation environments. This application of machine learning can be generalized to other polymer condensed-phase systems to elucidate the molecular mechanisms underlying ion solvation.</div>


2021 ◽  
pp. 2008619
Author(s):  
Hansen Wang ◽  
Zhiao Yu ◽  
Xian Kong ◽  
William Huang ◽  
Zewen Zhang ◽  
...  

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