scholarly journals Correction: Computational and experimental investigation of TmAgTe2 and XYZ2 compounds, a new group of thermoelectric materials identified by first-principles high-throughput screening

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.


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...


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>


2017 ◽  
Vol 5 (10) ◽  
pp. 5013-5019 ◽  
Author(s):  
Rui-zhi Zhang ◽  
Kan Chen ◽  
Baoli Du ◽  
Michael J. Reece

Using high throughput screening, thirteen compounds were identified as promising thermoelectric materials and two of them were successfully fabricated.


Author(s):  
Xiaolin Wang ◽  
Li-Ming Yang

We for the first time report the discovery of a series of highly efficient electrocatalysts, i.e., transition metal anchored N/O-codoped graphene, for nitrogen fixation via high-throughput screening combined with first-principles...


2020 ◽  
Vol 8 (34) ◽  
pp. 17579-17594 ◽  
Author(s):  
Francesco Ricci ◽  
Alexander Dunn ◽  
Anubhav Jain ◽  
Gian-Marco Rignanese ◽  
Geoffroy Hautier

Gapped metals present in their band structure a gap near the Fermi level. This key feature makes these metals comparable to degenerate semiconductors and thus suitable as thermoelectrics. The present screening searches them systematically.


2019 ◽  
Vol 123 (23) ◽  
pp. 14610-14618 ◽  
Author(s):  
Mohammad Atif Faiz Afzal ◽  
Mojtaba Haghighatlari ◽  
Sai Prasad Ganesh ◽  
Chong Cheng ◽  
Johannes Hachmann

2017 ◽  
Vol 5 (34) ◽  
pp. 8854-8861 ◽  
Author(s):  
Samuel A. Miller ◽  
Prashun Gorai ◽  
Umut Aydemir ◽  
Thomas O. Mason ◽  
Vladan Stevanović ◽  
...  

In the search for new thermoelectric materials, high-throughput calculations using a combination of semiempirical models and first principles density functional theory present a path to screen large numbers of compounds for the most promising candidates.


Sign in / Sign up

Export Citation Format

Share Document