scholarly journals Simple and efficient way of speeding up transmission calculations with k-point sampling

2015 ◽  
Vol 6 ◽  
pp. 1603-1608 ◽  
Author(s):  
Jesper Toft Falkenberg ◽  
Mads Brandbyge

The transmissions as functions of energy are central for electron or phonon transport in the Landauer transport picture. We suggest a simple and computationally “cheap” post-processing scheme to interpolate transmission functions over k-points to get smooth well-converged average transmission functions. This is relevant for data obtained using typical “expensive” first principles calculations where the leads/electrodes are described by periodic boundary conditions. We show examples of transport in graphene structures where a speed-up of an order of magnitude is easily obtained.

2018 ◽  
Vol 20 (12) ◽  
pp. 123014 ◽  
Author(s):  
Cong Wang ◽  
Guangqian Ding ◽  
Xuming Wu ◽  
Shasha Wei ◽  
Guoying Gao

2016 ◽  
Vol 18 (36) ◽  
pp. 25663-25670 ◽  
Author(s):  
Julian David Correa ◽  
Elizabeth Florez ◽  
Miguel Eduardo Mora-Ramos

The electronic structure of single walled nitrogen-doped carbon nanotubes is calculated by first principles using density functional theory within the supercell approach with periodic boundary conditions.


MRS Advances ◽  
2018 ◽  
Vol 3 (6-7) ◽  
pp. 313-319 ◽  
Author(s):  
David Hinojosa-Romero ◽  
Isaías Rodriguez ◽  
Alexander Valladares ◽  
Renela M. Valladares ◽  
Ariel A. Valladares

ABSTRACTUsing a 72-atom supercell we report ab initio calculations of the electronic and vibrational densities of states for the bismuth (111) bilayers (bismuthene) with periodic boundary conditions and a vacuum of 5 Å, 10 Å and 20 Å. We find that the electronic density of states shows a metallic character at the Fermi level and that the vibrational density of states manifests the expected gap due to the layers. Our results indicate that a vacuum down to 5 Å does not affect the electronic and vibrational structures noticeably. A comparison of present results with those obtained for the Wyckoff structure is displayed. Assuming that the Cooper pairing potential is similar for all phases and structures of bismuth, an estimate of the superconducting transition temperature gives 2.61 K for the bismuth bilayers.


2022 ◽  
Vol 105 (4) ◽  
Author(s):  
Takuro Tokunaga ◽  
Masao Arai ◽  
Kazuaki Kobayashi ◽  
Wataru Hayami ◽  
Shigeru Suehara ◽  
...  

RSC Advances ◽  
2016 ◽  
Vol 6 (103) ◽  
pp. 101552-101559 ◽  
Author(s):  
San-Dong Guo ◽  
Jian-Li Wang

The thermoelectric properties of halide perovskites CsMI3 (M = Sn and Pb) are investigated from a combination of first-principles calculations and semiclassical Boltzmann transport theory by considering both the electron and phonon transport.


2020 ◽  
Vol 127 (20) ◽  
pp. 205106
Author(s):  
Xin Liu ◽  
Tao Ouyang ◽  
Dingbo Zhang ◽  
Haifeng Huang ◽  
Hui Wang ◽  
...  

2017 ◽  
Vol 138 ◽  
pp. 419-425 ◽  
Author(s):  
Yongqiang Jiang ◽  
Shuang Cai ◽  
Yi Tao ◽  
Zhiyong Wei ◽  
Kedong Bi ◽  
...  

2014 ◽  
Vol 70 (2) ◽  
pp. 76-84 ◽  
Author(s):  
Qingfeng Zeng ◽  
Artem R. Oganov ◽  
Andriy O. Lyakhov ◽  
Congwei Xie ◽  
Xiaodong Zhang ◽  
...  

High-kdielectric materials are important as gate oxides in microelectronics and as potential dielectrics for capacitors. In order to enable computational discovery of novel high-kdielectric materials, we propose a fitness model (energy storage density) that includes the dielectric constant, bandgap, and intrinsic breakdown field. This model, used as a fitness function in conjunction with first-principles calculations and the global optimization evolutionary algorithm USPEX, efficiently leads to practically important results. We found a number of high-fitness structures of SiO2and HfO2, some of which correspond to known phases and some of which are new. The results allow us to propose characteristics (genes) common to high-fitness structures – these are the coordination polyhedra and their degree of distortion. Our variable-composition searches in the HfO2–SiO2system uncovered several high-fitness states. This hybrid algorithm opens up a new avenue for discovering novel high-kdielectrics with both fixed and variable compositions, and will speed up the process of materials discovery.


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