Drug delivery system tailoring via metal-organic framework property prediction using machine learning: A disregarded approach-Reference-Cited by-同舟云学术

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Drug delivery system tailoring via metal-organic framework property prediction using machine learning: A disregarded approach

Published:2024-03 Issue: Volume:38 Page:107938
ISSN:2352-4928
Container-title:Materials Today Communications
language:en
Short-container-title:Materials Today Communications

Author:

Pouyanfar Niki,Ahmadi Mahnaz,Ayyoubzadeh Seyed Mohammad,Ghorbani-Bidkorpeh Fatemeh

Funder

Shahid Beheshti University of Medical Sciences

Publisher

Elsevier BV

Subject

Materials Chemistry,Mechanics of Materials,General Materials Science

Reference167 articles.

1. Recent advances in metal–organic frameworks for gas adsorption/separation;Jiang;Nanoscale Adv.,2022

2. Metal-organic frameworks (MOFs) and their applications in CO2 adsorption and conversion;Zulkifli;ChemistrySelect,2022

3. Metal–organic framework;Karimi;Interface Sci. Technol.,2021

4. Microporous metal–organic frameworks: synthesis and applications;Ahmadi;J. Ind. Eng. Chem.,2022

5. Predicting hydrogen storage in MOFs via machine learning;Ahmed;Patterns,2021

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Combining machine learning and metal–organic frameworks research: Novel modeling, performance prediction, and materials discovery;Coordination Chemistry Reviews;2024-09

2. Metal–organic frameworks for biological applications;Nature Reviews Methods Primers;2024-06-27

3. Application of graphene origami metamaterials to improve nonlinear vibrations of the cars’ hood door under transient loading: Introducing machine learning method for solving the nonlinear problem;Materials Today Communications;2024-06

4. Optimization of the Synthesis and Radiolabeling of ZIF-8 Nanoparticles;Iranian Journal of Pharmaceutical Research;2024-04-08

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