Related references
Note: Only part of the references are listed.Selective capture of carbon dioxide from hydrocarbons using a metal-organic framework
Omid T. Qazvini et al.
NATURE COMMUNICATIONS (2021)
Host-Guest Interaction Modulation in Porous Coordination Polymers for Inverse Selective CO2/C2H2 Separation
Yifan Gu et al.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION (2021)
Electrostatically Driven Selective Adsorption of Carbon Dioxide over Acetylene in an Ultramicroporous Material
Yi Xie et al.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION (2021)
Deep Learning Accelerated Determination of Hydride Locations in Metal Nanoclusters
Song Wang et al.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION (2021)
Highly Selective Adsorption of Carbon Dioxide over Acetylene in an Ultramicroporous Metal-Organic Framework
Yanshu Shi et al.
ADVANCED MATERIALS (2021)
Photoinduced Electron-Transfer (PIET) Strategy for Selective Adsorption of CO2 over C2H2 in a MOF
Li-Zhen Cai et al.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION (2021)
Optimal Pore Chemistry in an Ultramicroporous Metal-Organic Framework for Benchmark Inverse CO2/C2H2 Separation
Zhaoqiang Zhang et al.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION (2021)
Integration of metal-organic frameworks and covalent organic frameworks: Design, synthesis, and applications
Yang Li et al.
MATTER (2021)
Inverse design of nanoporous crystalline reticular materials with deep generative models
Zhenpeng Yao et al.
NATURE MACHINE INTELLIGENCE (2021)
Selecting Adsorbents to Separate Diverse Near-Azeotropic Chemicals
Farhad Gharagheizi et al.
JOURNAL OF PHYSICAL CHEMISTRY C (2020)
A Universal Machine Learning Algorithm for Large-Scale Screening of Materials
George S. Fanourgakis et al.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY (2020)
Closed-loop optimization of fast-charging protocols for batteries with machine learning
Peter M. Attia et al.
NATURE (2020)
Machine Learning-Driven Insights into Defects of Zirconium Metal- Organic Frameworks for Enhanced Ethane-Ethylene Separation
Ying Wu et al.
CHEMISTRY OF MATERIALS (2020)
Optimizing Pore Space for Flexible-Robust Metal-Organic Framework to Boost Trace Acetylene Removal
Jun Wang et al.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY (2020)
Accelerated discovery of CO2 electrocatalysts using active machine learning
Miao Zhong et al.
NATURE (2020)
Efficient separation of xylene isomers by a guest-responsive metal-organic framework with rotational anionic sites
Xili Cui et al.
NATURE COMMUNICATIONS (2020)
Energy-efficient separation alternatives: metal-organic frameworks and membranes for hydrocarbon separation
Lifeng Yang et al.
CHEMICAL SOCIETY REVIEWS (2020)
Inverse and highly selective separation of CO2/C2H2on a thulium-organic framework
Deyun Ma et al.
JOURNAL OF MATERIALS CHEMISTRY A (2020)
Capturing chemical intuition in synthesis of metal-organic frameworks
Seyed Mohamad Moosavi et al.
NATURE COMMUNICATIONS (2019)
Inverse Adsorption Separation of CO2/C2H2 Mixture in Cyclodextrin-Based Metal-Organic Frameworks
Liangying Li et al.
ACS APPLIED MATERIALS & INTERFACES (2019)
Exploration of porous metal-organic frameworks for gas separation and purification
Rui-Biao Lin et al.
COORDINATION CHEMISTRY REVIEWS (2019)
Prediction of higher-selectivity catalysts by computer-driven worlflow and machine learning
Andrew F. Zahrt et al.
SCIENCE (2019)
Data-driven design of metal-organic frameworks for wet flue gas CO2 capture
Peter G. Boyd et al.
NATURE (2019)
Predicting performance limits of methane gas storage in zeolites with an artificial neural network
Sangwon Lee et al.
JOURNAL OF MATERIALS CHEMISTRY A (2019)
Robust Ultramicroporous Metal-Organic Frameworks with Benchmark Affinity for Acetylene
Yun-Lei Peng et al.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION (2018)
Hexafluorogermanate (GeFSIX) Anion-Functionalized Hybrid Ultramicroporous Materials for Efficiently Trapping Acetylene from Ethylene
Zhaoqiang Zhang et al.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2018)
An Asymmetric Anion-Pillared Metal-Organic Framework as a Multisite Adsorbent Enables Simultaneous Removal of Propyne and Propadiene from Propylene
Lifeng Yang et al.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION (2018)
Optimized Separation of Acetylene from Carbon Dioxide and Ethylene in a Microporous Material
Rui-Biao Lin et al.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY (2017)
An Ideal Molecular Sieve for Acetylene Removal from Ethylene with Record Selectivity and Productivity
Bin Li et al.
ADVANCED MATERIALS (2017)
An Adsorbate Discriminatory Gate Effect in a Flexible Porous Coordination Polymer for Selective Adsorption of CO2 over C2H2
Maw Lin Foo et al.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY (2016)
Machine-learning-assisted materials discovery using failed experiments
Paul Raccuglia et al.
NATURE (2016)
Pore chemistry and size control in hybrid porous materials for acetylene capture from ethylene
Xili Cui et al.
SCIENCE (2016)
A metal-organic framework-based splitter for separating propylene from propane
A. Cadiau et al.
SCIENCE (2016)
Benchmark C2H2/CO2 and CO2/C2H2 Separation by Two Closely Related Hybrid Ultramicroporous Materials
Kai-Jie Chen et al.
CHEM (2016)
In silico discovery of metal-organic frameworks for precombustion CO2 capture using a genetic algorithm
Yongchul G. Chung et al.
SCIENCE ADVANCES (2016)
What Are the Best Materials To Separate a Xenon/Krypton Mixture?
Cory M. Simon et al.
CHEMISTRY OF MATERIALS (2015)
Development of Computational Methodologies for Metal-Organic Frameworks and Their Application in Gas Separations
Qingyuan Yang et al.
CHEMICAL REVIEWS (2013)
Inverse and High CO2/C2H2 Sorption Selectivity in Flexible Organic-Inorganic Ionic Crystals
Ryo Eguchi et al.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION (2012)
Introduction to Metal-Organic Frameworks
Hong-Cai Zhou et al.
CHEMICAL REVIEWS (2012)
Ab initio carbon capture in open-site metal-organic frameworks
Allison L. Dzubak et al.
NATURE CHEMISTRY (2012)
A Fully Flexible Potential Model for Carbon Dioxide
Zhu Aimei et al.
CHINESE JOURNAL OF CHEMICAL ENGINEERING (2009)
Share Paper
