scholarly journals Density functional theory calculations: A powerful tool to simulate and design high-performance energy storage and conversion materials

2019 ◽  
Vol 29 (3) ◽  
pp. 247-255 ◽  
Author(s):  
Xi Wu ◽  
Feiyu Kang ◽  
Wenhui Duan ◽  
Jia Li
2020 ◽  
Vol 22 (13) ◽  
pp. 7039-7047 ◽  
Author(s):  
Jianhui Chen ◽  
Shuchang Cai ◽  
Rui Xiong ◽  
Baisheng Sa ◽  
Cuilian Wen ◽  
...  

The mechanical properties of group III–VI monolayers and sub-10 nm scale device performance of corresponding MOSFETs have been investigated by using density functional theory calculations as well as ab initio quantum transport simulations.


2021 ◽  
Author(s):  
Zhanzhe Xu ◽  
Xiaodong Lv ◽  
Wenyue Gu ◽  
Fengyu Li

Seeking novel anode materials with high performance for sodium ion batteries (SIBs) is an attractive theme in developing energy storage devices. In this work, by means of density functional theory...


Nanoscale ◽  
2021 ◽  
Author(s):  
Huilong Dong ◽  
Cai Ning ◽  
Gang Yang ◽  
Hongmei Ji ◽  
Youyong Li

High-performance cathode catalysts are always desirable for nonaqueous lithium-oxygen (Li-O2) batteries. Using density functional theory calculations, the structural, electronic and magnetic properties of SSX-Gr with different C/X ratios are systematically...


2016 ◽  
Vol 4 (28) ◽  
pp. 10906-10913 ◽  
Author(s):  
Yungang Zhou

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.


2006 ◽  
Vol 71 (11-12) ◽  
pp. 1525-1531 ◽  
Author(s):  
Wojciech Grochala

The enthalpy of four polymorphs of CaN has been scrutinized at 0 and 100 GPa using density functional theory calculations. It is shown that structures of diamagnetic calcium diazenide (Ca2N2) are preferred over the cubic ferromagnetic polymorph (CaN) postulated before, both at 0 and 100 GPa.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Chih-Chuen Lin ◽  
Phani Motamarri ◽  
Vikram Gavini

AbstractWe present a tensor-structured algorithm for efficient large-scale density functional theory (DFT) calculations by constructing a Tucker tensor basis that is adapted to the Kohn–Sham Hamiltonian and localized in real-space. The proposed approach uses an additive separable approximation to the Kohn–Sham Hamiltonian and an L1 localization technique to generate the 1-D localized functions that constitute the Tucker tensor basis. Numerical results show that the resulting Tucker tensor basis exhibits exponential convergence in the ground-state energy with increasing Tucker rank. Further, the proposed tensor-structured algorithm demonstrated sub-quadratic scaling with system-size for both systems with and without a gap, and involving many thousands of atoms. This reduced-order scaling has also resulted in the proposed approach outperforming plane-wave DFT implementation for systems beyond 2000 electrons.


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