Halogen-doping in LiCoO2 cathode materials for Li-ion batteries: insights from ab initio calculations

RSC Advances ◽  
2015 ◽  
Vol 5 (130) ◽  
pp. 107326-107332 ◽  
Author(s):  
Guobao Li ◽  
Si Zhou ◽  
Peng Wang ◽  
Jijun Zhao
Keyword(s):  
Density Functional Theory ◽  
Cathode Materials ◽  
Electrode Potential ◽  
Density Functional ◽  
Density Functional Theory Calculations ◽  
Li Ion Batteries ◽  
Functional Theory ◽  
Diffusion Behavior ◽  
Li Ion ◽  
Halogen Doping

Using density functional theory calculations, we investigate the effects of halogen doping on the structural stability, electronic state, electrode potential, and Li diffusion behavior of LiCoO2 systems.

Density Functional Theory Investigation of Mixed Transition Metals in Olivine and Tavorite Cathode Materials for Li-Ion Batteries

2020 ◽  
Vol 12 (14) ◽  
pp. 16376-16386 ◽  
Author(s):  
Muhammad Hilmy Alfaruqi ◽  
Seokhun Kim ◽  
Sohyun Park ◽  
Seulgi Lee ◽  
Jun Lee ◽  
...  
Keyword(s):  
Density Functional Theory ◽  
Transition Metals ◽  
Cathode Materials ◽  
Density Functional ◽  
Li Ion Batteries ◽  
Functional Theory ◽  
Li Ion ◽  
Mixed Transition

Ab initio study of doping effects on LiMnO2 and Li2MnO3 cathode materials for Li-ion batteries

2015 ◽  
Vol 3 (16) ◽  
pp. 8489-8500 ◽  
Author(s):  
Fantai Kong ◽  
Roberto C. Longo ◽  
Min-Sik Park ◽  
Jaegu Yoon ◽  
Dong-Hee Yeon ◽  
...  
Keyword(s):  
Density Functional Theory ◽  
Phase Stability ◽  
Cathode Materials ◽  
Density Functional ◽  
Electronic Conductivity ◽  
Li Ion Batteries ◽  
Ab Initio Study ◽  
Functional Theory ◽  
Doping Effects ◽  
Li Ion

The influence of 10 cationic (Mg, Ti, V, Nb, Fe, Ru, Co, Ni, Cu and Al) and 2 anionic (N and F) dopants on the phase stability, redox potential, ionic and electronic conductivity of both Li2MnO3 and LiMnO2 phases have been investigated using density functional theory.

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.

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).

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