CO<sub>2</sub> uptake prediction of metal–organic frameworks using quasi-SMILES and Monte Carlo optimization-Reference-Cited by-同舟云学术

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CO₂ uptake prediction of metal–organic frameworks using quasi-SMILES and Monte Carlo optimization

Published:2022 Issue:18 Volume:46 Page:8827-8837
ISSN:1144-0546
Container-title:New Journal of Chemistry
language:en
Short-container-title:New J. Chem.

Author:

Ahmadi Shahin¹^ORCID,Ketabi Sepideh¹^ORCID,Qomi Mahnaz²³

Affiliation:

1. Department of Chemistry, Faculty of Pharmaceutical Chemistry, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran

2. Department of Medicinal Chemistry, Faculty of Pharmacy, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran

3. Active Pharmaceutical Ingredients Research (APIRC), Tehran Medical Sciences, Islamic Azad University, Tehran, Iran

Abstract

The first report of quasi-SMILES-based QSPR models for CO2 capture of MOFs based on experimental data.

Publisher

Royal Society of Chemistry (RSC)

Subject

Materials Chemistry,General Chemistry,Catalysis

Link

http://pubs.rsc.org/en/content/articlepdf/2022/NJ/D2NJ00596D

Reference100 articles.

1. Expert credibility in climate change

2. Amine Scrubbing for CO 2 Capture

3. Design and synthesis of an exceptionally stable and highly porous metal-organic framework

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