Makale detayı · 2020 · article
Recent advances, opportunities, and challenges in high-throughput computational screening of MOFs for gas separations
Veri kaynağı ayrımı
- YÖKSİSYÖKSİS makale kaydı
- YÖKSİS dergi adıCoordination Chemistry Reviews
- Katalog eşleşmesi (ISSN)Coordination Chemistry Reviews
- OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)
- Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)
Özet
In the last two decades, metal organic frameworks (MOFs) have gained significant attention as adsorbent and membrane materials for gas separations. Due to the large number and diversity of existing MOFs, identifying the best MOF materials for a gas separation of interest is very challenging. High-throughput computational screening studies have played an important role in accurately assessing adsorption and membrane-based gas separation performances of MOFs in a time-efficient manner. Computational methods, mainly molecular simulations, are invaluable in narrowing down the number of promising MOFs from thousands to tens and directing the future experimental efforts, resources, and time to the best materials. In this review, we addressed the recent advances in high-throughput computational screening methods used for MOFs and described how to use the results of computer simulations to predict various adsorbent and membrane performance metrics of MOFs. Current large-scale computational studies on using MOFs for different gas separations were then reviewed. Finally, both the opportunities and challenges in the field were discussed to shed light on future MOF studies.
Konular
Atıflar
OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.
263atıfOpenAlex · cited_by_count (önbellek / veritabanı)
Yerel katalogda bu makaleye atıf yapan 48 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).
- 2021 Effect of Metal–Organic Framework (MOF) Database Selection on the Assessment of Gas Storage and Separation Potentials of MOFsAtıf 345 · OpenAlex
- 2021 Effect of Metal-Organic Framework (MOF) Database Selection on the Assessment of Gas Storage and Separation Potentials of MOFsAtıf 344 · OpenAlex
- 2021 Effect of Metal-Organic Framework (MOF) Database Selection on the Assessment of Gas Storage and Separation Potentials of MOFsAtıf 344 · OpenAlex
- 2021 Effect of Metal-Organic Framework (MOF) Database Selection on the Assessment of Gas Storage and Separation Potentials of MOFsAtıf 344 · OpenAlex
- 2021 Machine Learning Meets with Metal Organic Frameworks for Gas Storage and SeparationAtıf 240 · OpenAlex
- 2021 Machine Learning Meets with Metal Organic Frameworks for Gas Storage and SeparationAtıf 240 · OpenAlex
- 2021 Machine Learning Meets with Metal Organic Frameworks for Gas Storage and SeparationAtıf 240 · OpenAlex
- 2023 Recent advances in computational modeling of MOFs: From molecular simulations to machine learningAtıf 218 · OpenAlex
- 2023 Recent advances in computational modeling of MOFs: From molecular simulations to machine learningAtıf 216 · OpenAlex
- 2022 Combining Machine Learning and Molecular Simulations to Unlock Gas Separation Potentials of MOF Membranes and MOF/Polymer MMMsAtıf 150 · OpenAlex