Electrical structures, magnetic polaron and lithium ion dynamics in three transition metal doped LiFe1−xMxPO4 (M = Mn, Co and La) cathode material for Li ion batteries from density functional theory study

2016 ◽  
Vol 294 ◽  
pp. 73-81 ◽  
Author(s):  
Yi Xiao ◽  
Fu Chun Zhang ◽  
Jeong In Han
Keyword(s):  
Density Functional Theory ◽  
Density Functional ◽  
Lithium Ion ◽  
Magnetic Polaron ◽  
Ion Dynamics ◽  
Li Ion Batteries ◽  
Density Functional Theory Study ◽  
Functional Theory ◽  
Li Ion ◽  
Metal Doped

Metallic FeSe monolayer as an anode material for Li and non-Li ion batteries: a DFT study

2020 ◽  
Vol 22 (16) ◽  
pp. 8902-8912 ◽  
Author(s):  
Xiaodong Lv ◽  
Fengyu Li ◽  
Jian Gong ◽  
Jinxing Gu ◽  
Shiru Lin ◽  
...  
Keyword(s):  
Density Functional Theory ◽  
Electrochemical Performance ◽  
Lithium Ion Batteries ◽  
Anode Material ◽  
Density Functional ◽  
Lithium Ion ◽  
Li Ion Batteries ◽  
Functional Theory ◽  
Li Ion ◽  
Density Functional Theory Computations

By means of density functional theory computations, we explored the electrochemical performance of an FeSe monolayer as an anode material for lithium and non-lithium ion batteries (LIBs and NLIBs).

MX (M = Ge, Sn; X = S, Se) sheets: theoretical prediction of new promising electrode materials for Li ion batteries

2016 ◽  
Vol 4 (28) ◽  
pp. 10906-10913 ◽  
Author(s):  
Yungang Zhou
Keyword(s):  
Density Functional Theory ◽  
High Performance ◽  
Density Functional ◽  
Electrode Materials ◽  
Lithium Ion ◽  
Density Functional Theory Calculations ◽  
Two Dimensional ◽  
Li Ion Batteries ◽  
Functional Theory ◽  
Li Ion

In this work, via density functional theory calculations, we explored the interaction of Li with recently synthesized two-dimensional structures, MX (M = Ge, Sn; X = S, Se) sheets, for application in high-performance lithium ion batteries.

scholarly journals Application of DFT-based machine learning for developing molecular electrode materials in Li-ion batteries

RSC Advances ◽  
2018 ◽  
Vol 8 (69) ◽  
pp. 39414-39420 ◽  
Author(s):  
Omar Allam ◽  
Byung Woo Cho ◽  
Ki Chul Kim ◽  
Seung Soon Jang
Keyword(s):  
Machine Learning ◽  
Density Functional Theory ◽  
High Throughput Screening ◽  
Density Functional ◽  
Electrode Materials ◽  
Screening Method ◽  
Li Ion Batteries ◽  
Functional Theory ◽  
Learning Framework ◽  
Li Ion

In this study, we utilize a density functional theory-machine learning framework to develop a high-throughput screening method for designing new molecular electrode materials.

scholarly journals A density functional theory study of the carbon-coating effects on lithium iron borate battery electrodes

2017 ◽  
Vol 19 (3) ◽  
pp. 2087-2094 ◽  
Author(s):  
Simon Loftager ◽  
Juan María García-Lastra ◽  
Tejs Vegge
Keyword(s):  
Density Functional Theory ◽  
Cathode Material ◽  
Carbon Coating ◽  
Density Functional ◽  
Li Ion Battery ◽  
Density Functional Theory Study ◽  
Iron Borate ◽  
Functional Theory ◽  
Carbon Coatings ◽  
Li Ion

Density functional theory modelling shows that carbon coatings on a LiFeBO3 cathode material does not impede the Li transport in a Li-ion battery.

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