Discovery of High Performance Thermoelectric Chalcogenides Through First-Principles High-Throughput Screening

Author(s):  
Tao Fan ◽  
Artem R. Oganov

Searching for thermoelectric materials with high energy conversion efficiency is important to solve the energy and environment issues of our society. In this work, we studied the thermoelectric-related transport properties...

2016 ◽  
Vol 4 (19) ◽  
pp. 4331-4331 ◽  
Author(s):  
Hong Zhu ◽  
Geoffroy Hautier ◽  
Umut Aydemir ◽  
Zachary M. Gibbs ◽  
Guodong Li ◽  
...  

Correction for ‘Computational and experimental investigation of TmAgTe2 and XYZ2 compounds, a new group of thermoelectric materials identified by first-principles high-throughput screening’ by Hong Zhu et al., J. Mater. Chem. C, 2015, 3, 10554–10565.


2015 ◽  
Vol 3 (40) ◽  
pp. 10554-10565 ◽  
Author(s):  
Hong Zhu ◽  
Geoffroy Hautier ◽  
Umut Aydemir ◽  
Zachary M. Gibbs ◽  
Guodong Li ◽  
...  

Promising thermoelectric materials (XYZ2) with high band degeneracy and low thermal conductivity.


RSC Advances ◽  
2017 ◽  
Vol 7 (50) ◽  
pp. 31264-31271 ◽  
Author(s):  
Dongxing Wang ◽  
Chao Lu ◽  
Jingjing Zhao ◽  
Song Han ◽  
Minghong Wu ◽  
...  

High performance actuator with large deformation and high conversion efficiency.


2020 ◽  
Vol 22 (4) ◽  
pp. 1911-1922
Author(s):  
Kunpeng Yuan ◽  
Zhehao Sun ◽  
Xiaoliang Zhang ◽  
Xiaojing Gong ◽  
Dawei Tang

This work offers insights into the thermoelectric transport properties in rhombohedral GeSe by first-principles calculations and demonstrates that both p-type and n-type GeSe are potential high-performance thermoelectric materials.


2019 ◽  
Author(s):  
Mohammad Atif Faiz Afzal ◽  
Mojtaba Haghighatlari ◽  
Sai Prasad Ganesh ◽  
Chong Cheng ◽  
Johannes Hachmann

<div>We present a high-throughput computational study to identify novel polyimides (PIs) with exceptional refractive index (RI) values for use as optic or optoelectronic materials. Our study utilizes an RI prediction protocol based on a combination of first-principles and data modeling developed in previous work, which we employ on a large-scale PI candidate library generated with the ChemLG code. We deploy the virtual screening software ChemHTPS to automate the assessment of this extensive pool of PI structures in order to determine the performance potential of each candidate. This rapid and efficient approach yields a number of highly promising leads compounds. Using the data mining and machine learning program package ChemML, we analyze the top candidates with respect to prevalent structural features and feature combinations that distinguish them from less promising ones. In particular, we explore the utility of various strategies that introduce highly polarizable moieties into the PI backbone to increase its RI yield. The derived insights provide a foundation for rational and targeted design that goes beyond traditional trial-and-error searches.</div>


2020 ◽  
Vol 8 (46) ◽  
pp. 24284-24306
Author(s):  
Xuefeng Ren ◽  
Yiran Wang ◽  
Anmin Liu ◽  
Zhihong Zhang ◽  
Qianyuan Lv ◽  
...  

Fuel cell is an electrochemical device, which can directly convert the chemical energy of fuel into electric energy, without heat process, not limited by Carnot cycle, high energy conversion efficiency, no noise and pollution.


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