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Papers citing Materials design by evolutionary optimization of functional groups in metal-organic frameworks

  1. Exceptionally stable Bakelite-type polymers for efficient pre-combustion CO 2 capture and H 2 purification

    Journal of Materials Chemistry A · 2017

    Shyamapada Nandi, Jens Rother, Debanjan Chakraborty, Rahul Maity, Ulrike Werner‐Zwanziger, Ramanathan Vaidhyanathan

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  2. Metal–organic frameworks meet scalable and sustainable synthesis

    Green Chemistry · 2017

    Patrick Julien, Cristina Mottillo, Tomislav Friščić

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  3. Partially Interpenetrated NbO Topology Metal–Organic Framework Exhibiting Selective Gas Adsorption

    Crystal Growth & Design · 2017

    Gaurav Verma, Sanjay Kumar, Tony Pham, Zheng Niu, Łukasz Wojtas, Jason A. Perman, Yu‐Sheng Chen, Shengqian Ma

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  4. A mechanistic approach towards the photocatalytic organic transformations over functionalised metal organic frameworks: a review

    Catalysis Science & Technology · 2017

    Satyabrata Subudhi, Dharitri Rath, Kulamani M. Parida

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  5. Computational evaluation of metal pentazolate frameworks: inorganic analogues of azolate metal–organic frameworks

    Chemical Science · 2018

    Mihails Arhangelskis, Athanassios D. Katsenis, Andrew J. Morris, Tomislav Friščić

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  6. Microporous mixed-metal mixed-ligand metal organic framework for selective CO 2 capture

    CrystEngComm · 2018

    Rahul Maity, Debanjan Chakraborty, Shyamapada Nandi, Rinku Kushwaha, Ramanathan Vaidhyanathan

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  7. Preferential Adsorption of CO2 in an Ultramicroporous MOF with Cavities Lined by Basic Groups and Open-Metal Sites

    Inorganic Chemistry · 2018

    Shyamapada Nandi, Rahul Maity, Debanjan Chakraborty, Hemkalyan Ballav, Ramanathan Vaidhyanathan

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  8. CO2 adsorption performance of functionalized metal-organic frameworks of varying topologies by molecular simulations

    Chemical Engineering Science · 2018

    Wei Hao Li, Song Li

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  9. In Silico Screening of MOFs with open copper sites for C2H2/CO2 separation

    AIChE Journal · 2018

    Ce Zhang, Lei Wang, Guillaume Maurin, Qingyuan Yang

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  10. Role of Pore Chemistry and Topology in the CO 2 Capture Capabilities of MOFs: From Molecular Simulation to Machine Learning

    Chemistry of Materials · 2018

    Ryther Anderson, Jacob Rodgers, Edwin Argueta, Achay Biong, Diego A. Gómez‐Gualdrón

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  11. Ligands-Coordinated Zr-Based MOF for Wastewater Treatment

    Nanomaterials · 2018

    Xue-Qing Zhan, Fang‐Chang Tsai, Lei Xie, Ke-Deng Zhang, Huanli Liu, Ning Ma, Dean Shi, Tao Jiang

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  12. Materials genomics methods for high-throughput construction of COFs and targeted synthesis

    Nature Communications · 2018

    Youshi Lan, Xianghao Han, Minman Tong, Hongliang Huang, Qingyuan Yang, Dahuan Liu, Xin Zhao, Chongli Zhong

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  13. Large-scale computational assembly of ionic liquid/MOF composites: synergistic effect in the wire-tube conformation for efficient CO 2 /CH 4 separation

    Journal of Materials Chemistry A · 2019

    Youshi Lan, Tongan Yan, Minman Tong, Chongli Zhong

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  14. The inverse design of structural color using machine learning

    Nanoscale · 2019

    Zhao Huang, Xin Liu, Jianfeng Zang

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  15. Universal Scaling Law for Methane Capture Quantity in Metal–Organic Frameworks

    Advanced Theory and Simulations · 2019

    Haoxiang Lin, Shuhong Cai, Xi Zhu

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  16. Materials‐Informatics‐Assisted High‐Yield Synthesis of 2D Nanomaterials through Exfoliation

    Advanced Theory and Simulations · 2019

    Gentoku Nakada, Yasuhiko Igarashi, Hiroaki Imai, Yuya Oaki

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  17. Computational screening of metal−organic frameworks for CO2 separation

    Current Opinion in Green and Sustainable Chemistry · 2019

    Jianwen Jiang

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  18. The Role of Molecular Modeling & Simulation in the Discovery and Deployment of Metal-Organic Frameworks for Gas Storage and Separation

    ChemRxiv · 2019

    Árni Sturluson, Melanie T. Huynh, Alec R. Kaija, Caleb Laird, Sunghyun Yoon, Feier Hou, Zhenxing Feng, Christopher E. Wilmer, Yamil J. Colón, Yongchul G. Chung, Daniel W. Siderius, Cory M. Simon

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  19. Performance of biologically inspired algorithms tuned on TiO2 nanoparticle benchmark system

    Computational Materials Science · 2019

    Eric J. Inclan, Mina Yoon

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  20. Theoretical Prediction and Experimental Evaluation of Topological Landscape and Thermodynamic Stability of a Fluorinated Zeolitic Imidazolate Framework

    Chemistry of Materials · 2019

    Mihails Arhangelskis, Athanassios D. Katsenis, Novendra Novendra, Zamirbek Akimbekov, Gandrath Dayaker, Joseph M. Marrett, Ghada Ayoub, Andrew J. Morris, Omar K. Farha, Tomislav Friščić, Alexandra Navrotsky

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  21. Strategies for Overcoming Defects of HKUST‐1 and Its Relevant Applications

    Advanced Materials Interfaces · 2019

    Tianyi Wang, Haolin Zhu, Qun Zeng, Dingxin Liu

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  22. The role of molecular modelling and simulation in the discovery and deployment of metal-organic frameworks for gas storage and separation

    Molecular Simulation · 2019

    Árni Sturluson, Melanie T. Huynh, Alec R. Kaija, Caleb Laird, Sunghyun Yoon, Feier Hou, Zhenxing Feng, Christopher E. Wilmer, Yamil J. Colón, Yongchul G. Chung, Daniel W. Siderius, Cory M. Simon

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  23. Water‐stable Adenine‐based MOFs with Polar Pores for Selective CO2 Capture

    Chemistry - An Asian Journal · 2019

    Rahul Maity, Himan Dev Singh, Ankit Kumar Yadav, Debanjan Chakraborty, Ramanathan Vaidhyanathan

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  24. Experiment‐Oriented Materials Informatics for Efficient Exploration of Design Strategy and New Compounds for High‐Performance Organic Anode

    Advanced Theory and Simulations · 2019

    Hiromichi Numazawa, Yasuhiko Igarashi, Kosuke Sato, Hiroaki Imai, Yuya Oaki

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  25. Copper(II), Zinc(II), and Cadmium(II) Formylbenzoate Complexes: Reactivity and Emission Properties

    ACS Omega · 2019

    Jitendra Nath, Arup Tarai, J.B. Baruah

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  26. Machine Learning Enabled Tailor-Made Design of Application-Specific Metal–Organic Frameworks

    ACS Applied Materials & Interfaces · 2019

    Xiangyu Zhang, Kexin Zhang, Yongjin Lee

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  27. Modeling of multi-scale transport phenomena in shale gas production — A critical review

    Applied Energy · 2020

    Hui Wang, Ming-Jia Li, Zhiguo Qu, Ying Yin, Qinjun Kang, Bo Yu, Wen‐Quan Tao

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  28. High-Throughput Computational Studies in Catalysis and Materials Research, and Their Impact on Rational Design

    WORLD SCIENTIFIC eBooks · 2020

    Mohammad Atif Faiz Afzal, Johannes Hachmann

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  29. Sulfonated Sub-1-nm Metal–Organic Framework Channels with Ultrahigh Proton Selectivity

    Journal of the American Chemical Society · 2020

    Xingya Li, Huacheng Zhang, Jue Hou, Ranwen Ou, Yinlong Zhu, Chen Zhao, Tianyue Qian, Christopher D. Easton, Cordelia Selomulya, Matthew R. Hill, Huanting Wang

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  30. Ab Initio Prediction of Metal-Organic Framework Structures

    Chemistry of Materials · 2020

    James P. Darby, Mihails Arhangelskis, Athanassios D. Katsenis, Joseph M. Marrett, Tomislav Friščić, Andrew J. Morris

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  31. Big-Data Science in Porous Materials: Materials Genomics and Machine Learning

    Chemical Reviews · 2020

    Kevin Maik Jablonka, Daniele Ongari, Seyed Mohamad Moosavi, Berend Smit

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  32. Applications of machine learning in metal-organic frameworks

    Coordination Chemistry Reviews · 2020

    Sanggyu Chong, Sangwon Lee, Baekjun Kim, Jihan Kim

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  33. High Throughput Methods in the Synthesis, Characterization, and Optimization of Porous Materials

    Advanced Materials · 2020

    Ivan G. Clayson, Daniel Hewitt, Martin Hutereau, Tom Pope, Ben Slater

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  34. Isotherm parameter library and evaluation software for CO2 capture adsorbents

    Computers & Chemical Engineering · 2020

    Seongbin Ga, Sangwon Lee, Jihan Kim, Jay H. Lee

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  35. Inverse design of composite metal oxide optical materials based on deep transfer learning and global optimization

    Computational Materials Science · 2020

    Rongzhi Dong, Yabo Dan, Xiang Li, Jianjun Hu

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  36. Evolutionary design of optimal surface topographies for biomaterials

    Scientific Reports · 2020

    Aliaksei S. Vasilevich, Aurélie Carlier, David Alan Winkler, Shantanu Singh, Jan de Boer

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  37. Digitizing Chemistry Using the Chemical Processing Unit: From Synthesis to Discovery

    Accounts of Chemical Research · 2020

    Liam Wilbraham, S. Hessam M. Mehr, Leroy Cronin

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  38. Bayesian optimization of nanoporous materials

    Molecular Systems Design & Engineering · 2021

    Aryan Deshwal, Cory M. Simon, Janardhan Rao Doppa

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  39. Computational Screening of MOFs for CO2 Capture

    Springer eBooks · 2021

    Çiğdem Altıntaş, İlknur Eruçar, Seda Keskın

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  40. Engineering metal–organic frameworks for adsorption-based gas separations: from process to atomic scale

    Molecular Systems Design & Engineering · 2021

    Marco Taddei, Camille Petit

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  41. Harnessing the power of machine learning for carbon capture, utilisation, and storage (CCUS) – a state-of-the-art review

    Energy & Environmental Science · 2021

    Yongliang Yan, Yongliang Yan, Tohid Nejad Ghaffar Borhani, Sai Gokul Subraveti, Kasturi Nagesh Pai, Vinay Prasad, Arvind Rajendran, Paula Nkulikiyinka, Jude Odianosen Asibor, Zhien Zhang, Ding Shao, Lijuan Wang, Wenbiao Zhang, Yong Gang Yan, Yong Gang Yan, William Ampomah, Junyu You, Meihong Wang, Edward John Anthony, Vasilije M. Manovic, Peter T. Clough

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  42. Inverse design of nanoporous crystalline reticular materials with deep generative models

    Nature Machine Intelligence · 2021

    Zhenpeng Yao, Benjamín Sánchez-Lengeling, N. Scott Bobbitt, Benjamin J. Bucior, Sai Govind Hari Kumar, Sean P. Collins, Thomas D. Burns, Tom K. Woo, Omar K. Farha, Randall Q. Snurr, Alán Aspuru‐Guzik

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  43. Machine Learning-Driven Discovery of Metal–Organic Frameworks for Efficient CO2 Capture in Humid Condition

    ACS Sustainable Chemistry & Engineering · 2021

    Xiangyu Zhang, Kexin Zhang, Hyeonsuk Yoo, Yongjin Lee

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  44. A Recommendation System to Predict Missing Adsorption Properties of Nanoporous Materials

    ChemRxiv · 2021

    Árni Sturluson, Ali Raza, Grant D. McConachie, Daniel W. Siderius, Xiaoli Z. Fern, Cory M. Simon

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  45. Machine learning and descriptor selection for the computational discovery of metal-organic frameworks

    Molecular Simulation · 2021

    Krishnendu Mukherjee, Yamil J. Colón

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  46. Computational Screening of Trillions of Metal–Organic Frameworks for High-Performance Methane Storage

    ACS Applied Materials & Interfaces · 2021

    Sangwon Lee, Baekjun Kim, Hyun Min Cho, Hooseung Lee, Sarah Yunmi Lee, Eun Seon Cho, Jihan Kim

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  47. Machine Learning-based approach for Tailor-Made design of ionic Liquids: Application to CO2 capture

    Separation and Purification Technology · 2021

    Kexin Zhang, Jiasheng Wu, Hyeonsuk Yoo, Yongjin Lee

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  48. Computational Discovery of Transition-metal Complexes: From High-throughput Screening to Machine Learning

    Chemical Reviews · 2021

    Aditya Nandy, Chenru Duan, Michael G. Taylor, Fang Liu, Adam H. Steeves, Heather J. Kulik

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  49. In Silico Evolution of High-Performing Metal Organic Frameworks for Methane Adsorption

    Journal of Chemical Information and Modeling · 2021

    Nicole Beauregard, Maryam Pardakhti, Ranjan Srivastava

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  50. Recommendation System to Predict Missing Adsorption Properties of Nanoporous Materials

    Chemistry of Materials · 2021

    Árni Sturluson, Ali Raza, Grant D. McConachie, Daniel W. Siderius, Xiaoli Z. Fern, Cory M. Simon

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