Unknown

Dataset Information

0

Data of interaction of supported ionic liquids phases onto copper nanoparticles: A density functional theory study.


ABSTRACT: This work contains data on the computational, structural, and electronic characterization of supported ionic liquids phases anchored to copper nanoparticles using Density Functional theory calculations. The data supplement the paper "Interaction of supported ionic liquids phases onto copper nanoparticles: A Density Functional Theory study" [1], based on the adsorption of ionic liquid onto a Cu nanoparticle is analyzed from a chemical and physical point of view. The chemical analysis is based on Atoms in Molecule theory (AIM) and allows us to differentiate the chemical binding nature between ionic liquid and copper nanoparticle. On the other hand, the energy decomposition analysis based on absolutely localized molecular orbital (ALMO-EDA) describes the physical contributions that govern the interaction between ionic liquid and the copper nanoparticles. Herein, detailed and extended information in the synthesis and computational characterization are presented.

SUBMITTER: Wrighton-Araneda K 

PROVIDER: S-EPMC7708792 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

Data of interaction of supported ionic liquids phases onto copper nanoparticles: A density functional theory study.

Wrighton-Araneda Kerry K   Valdebenito Cristián C   Abarca Gabriel G   Cortés-Arriagada Diego D  

Data in brief 20201123


This work contains data on the computational, structural, and electronic characterization of supported ionic liquids phases anchored to copper nanoparticles using Density Functional theory calculations. The data supplement the paper "Interaction of supported ionic liquids phases onto copper nanoparticles: A Density Functional Theory study" [1], based on the adsorption of ionic liquid onto a Cu nanoparticle is analyzed from a chemical and physical point of view. The chemical analysis is based on  ...[more]

Similar Datasets

| S-EPMC5832661 | biostudies-literature
| S-EPMC9685753 | biostudies-literature
| S-EPMC9080869 | biostudies-literature
| S-EPMC9418861 | biostudies-literature
| S-EPMC6175319 | biostudies-literature
| S-EPMC10585329 | biostudies-literature
| S-EPMC8420490 | biostudies-literature
| S-EPMC8347690 | biostudies-literature
2021-08-13 | GSE156769 | GEO
| S-EPMC10652719 | biostudies-literature