scholarly journals High-throughput screening of metal-porphyrin-like graphenes for selective capture of carbon dioxide

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Hyeonhu Bae ◽  
Minwoo Park ◽  
Byungryul Jang ◽  
Yura Kang ◽  
Jinwoo Park ◽  
...  

Abstract Nanostructured materials, such as zeolites and metal-organic frameworks, have been considered to capture CO2. However, their application has been limited largely because they exhibit poor selectivity for flue gases and low capture capacity under low pressures. We perform a high-throughput screening for selective CO2 capture from flue gases by using first principles thermodynamics. We find that elements with empty d orbitals selectively attract CO2 from gaseous mixtures under low CO2 pressures (~10 −3 bar) at 300 K and release it at ~450 K. CO2 binding to elements involves hybridization of the metal d orbitals with the CO2 π orbitals and CO2-transition metal complexes were observed in experiments. This result allows us to perform high-throughput screening to discover novel promising CO2 capture materials with empty d orbitals (e.g., Sc– or V–porphyrin-like graphene) and predict their capture performance under various conditions. Moreover, these findings provide physical insights into selective CO2 capture and open a new path to explore CO2 capture materials.

2020 ◽  
Vol 8 (38) ◽  
pp. 20047-20053 ◽  
Author(s):  
Xingshuai Lv ◽  
Wei Wei ◽  
Hao Wang ◽  
Fengping Li ◽  
Baibiao Huang ◽  
...  

MOFs for N2 reduction: performing first-principles high-throughput screening on a series of 2D TM–BHT, we could show that a subtle synergism between TMS4 active centers and the ligands is a prerequisite for a high NRR performance, properties which Mo–BHT seems to fulfill.


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 7 (1) ◽  
Author(s):  
Hyeonhu Bae ◽  
Minwoo Park ◽  
Byungryul Jang ◽  
Yura Kang ◽  
Jinwoo Park ◽  
...  

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...


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.


2021 ◽  
Vol 403 ◽  
pp. 126392 ◽  
Author(s):  
Justyna Rogacka ◽  
Agnieszka Seremak ◽  
Azahara Luna-Triguero ◽  
Filip Formalik ◽  
Ismael Matito-Martos ◽  
...  

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