Papers citing Machine Learning Meets with Metal Organic Frameworks for Gas Storage and Separation
Strategies for designing metal–organic frameworks with superprotonic conductivity
Coordination Chemistry Reviews · 2022-12-28
Amitosh Sharma, Jaewoong Lim, Myoung Soo Lah
Read original paper ↗ ·A reliable QSPR model for predicting drug release rate from metal–organic frameworks: a simple and robust drug delivery approach
RSC Advances · 2023-01-01
Leila Tayebi, Rahmatollah Rahimi, Ali Reza Akbarzadeh, Ali Reza Maleki
Read original paper ↗ ·Advancing CH 4 /H 2 separation with covalent organic frameworks by combining molecular simulations and machine learning
Journal of Materials Chemistry A · 2023-01-01
Gokhan Onder Aksu, Seda Keskın
Read original paper ↗ ·Machine Learning for Predicting Gas Adsorption Capacities of Metal Organic Framework
Computational methods in engineering & the sciences · 2023-01-01
Wenjing Guo, Jie Liu, Fan Dong, Tucker A. Patterson, Huixiao Hong
Read original paper ↗ ·RETRACTED: Fabrication and Characterization of Nanoscale Metal-Organic Frameworks (MOFs) for Gas Storage and Separation
E3S Web of Conferences · 2023-01-01
Santosh Kumar B, Kilaru Aswini, A. Kakoli Rao, Khursheed Alam, Muthana Saleh Mashkour, Alok Jain
Read original paper ↗ ·The Application of Novel Functional Materials to Machine Learning
Springer eBooks · 2023-01-01
Humaira Rashid Khan, Fahd Sikandar Khan, Javeed Akhtar
Read original paper ↗ ·The future of metal–organic frameworks and covalent organic frameworks: rational synthesis and customized applications
Materials Horizons · 2023-01-01
Xing Han, Wenqiang Zhang, Zhijie Chen, Yan Jun Liu, Yong Cui
Read original paper ↗ ·Understanding the influence of secondary building units on the thermal conductivity of metal–organic frameworks via high-throughput computational screening
Physical Chemistry Chemical Physics · 2023-01-01
Yuanchuang Lin, Ruihuan Cheng, Tiangui Liang, Weixiong Wu, Song Li, Wei Hao Li
Read original paper ↗ ·MOFX-DB: An Online Database of Computational Adsorption Data for Nanoporous Materials
Journal of Chemical & Engineering Data · 2023-01-04
N. Scott Bobbitt, Kaihang Shi, Benjamin J. Bucior, Haoyuan Chen, Nathaniel Tracy-Amoroso, Zhao Li, Yangzesheng Sun, Julia Merlin, Joern Ilja Siepmann, Daniel W. Siderius, Randall Q. Snurr
Read original paper ↗ ·Machine Learning‐Aided Discovery of Nanoporous Materials for Energy‐ and Environmental‐Related Applications
Unknown journal · 2023-01-24
Archit Datar, Qiang Lyu, Li‐Chiang Lin
Read original paper ↗ ·Analysis and evaluation of machine learning applications in materials design and discovery
Materials Today Communications · 2023-01-25
Mahsa Golmohammadi, Masoud Aryanpour
Read original paper ↗ ·MOFormer: Self-Supervised Transformer Model for Metal–Organic Framework Property Prediction
Journal of the American Chemical Society · 2023-01-27
Zhonglin Cao, Rishikesh Magar, Yuyang Wang, Amir Barati Farimani
Read original paper ↗ ·Automated Graph Neural Networks Accelerate the Screening of Optoelectronic Properties of Metal–Organic Frameworks
The Journal of Physical Chemistry Letters · 2023-01-30
Zhaosheng Zhang
Read original paper ↗ ·Bifunctional Zn Coordination Polymers for High-Performance Fluorescence Turn-On Detection of l -Glutamate and Adsorption of Malachite Green in Aqueous Medium
Crystal Growth & Design · 2023-03-01
Sai Ma, Lingling Gao, Yujuan Zhang, Tuoping Hu
Read original paper ↗ ·Bismuth Coordination Polymers with Fluorinated Linkers: Aqueous Stability, Bivolatility, and Adsorptive Behavior
ACS Omega · 2023-03-06
Alice Lulich, Mehran Amiri, Doctor Stephen, Mohammad Shohel, Zhiwei Mao, May Nyman
Read original paper ↗ ·Machine learning accelerates the investigation of targeted MOFs: Performance prediction, rational design and intelligent synthesis
Nano Today · 2023-03-10
Jing Lin, Zhimeng Liu, Yujie Guo, Shulin Wang, Tao Zhang, Xiangdong Xue, Rushuo Li, Shihao Feng, Linmeng Wang, Jiangtao Liu, Hongyi Gao, Ge Wang, Yanjing Su
Read original paper ↗ ·A multi-modal pre-training transformer for universal transfer learning in metal–organic frameworks
Nature Machine Intelligence · 2023-03-13
Yeonghun Kang, Hyunsoo Park, Berend Smit, Jihan Kim
Read original paper ↗ ·Coordination Frameworks Containing Flexible Long-Spanning Dipyridine Ligands and Aromatic Dicarboxylic Ligands Bridged Cobalt(II)/Nickel(II): Syntheses, Structures, UV–Vis DRS and Magnetic Properties
Journal of Cluster Science · 2023-03-18
Nanhao Jin, Yuqi Liu, Siyu Dai, Yanghua Li, Xinying Wang, Yue Zhao, Xiaoming Liu, Han Chen, Huilong Luo, Wei Li
Read original paper ↗ ·Recent advances in computational modeling of MOFs: From molecular simulations to machine learning
Coordination Chemistry Reviews · 2023-03-21
Hakan Demir, Hilal Daglar, Hasan Can Gülbalkan, Gokhan Onder Aksu, Seda Keskın
Read original paper ↗ ·Bismuth-Polyoxocation Coordination Networks: Controlling Nuclearity and Dimension-Dependent Photocatalysis
ACS Applied Materials & Interfaces · 2023-03-28
Mehran Amiri, Alice Lulich, Nan‐Chieh Chiu, Samuel K. Wolff, Dylan B. Fast, William F. Stickle, Kyriakos C. Stylianou, May Nyman
Read original paper ↗ ·Metal-organic frameworks meet Uni-MOF: a revolutionary gas adsorption detector
ChemRxiv · 2023-04-25
Jingqi Wang, Jiapeng Liu, Hongshuai Wang, Guolin Ke, Linfeng Zhang, Jianzhong Wu, Zhifeng Gao, Diannan Lu
Read original paper ↗ ·Artificial intelligence enabled carbon capture: A review
The Science of The Total Environment · 2023-05-05
A.K. Priya, D. Balaji, Avinash Alagumalai, Hua Song
Read original paper ↗ ·Metal-organic frameworks meet Uni-MOF: a transformer-based gas adsorption detector
ChemRxiv · 2023-05-08
Jingqi Wang, Jiapeng Liu, Hongshuai Wang, Guolin Ke, Linfeng Zhang, Jianzhong Wu, Zhifeng Gao, Diannan Lu
Read original paper ↗ ·Analyzing of metal organic frameworks performance in CH4 adsorption using machine learning techniques: A GBRT model based on small training dataset
Journal of environmental chemical engineering · 2023-05-09
Xin Wei, Ding Peng, Lin Fang Shen, Yuejie Ai, Zhanhui Lu
Read original paper ↗ ·Membrane Science Meets Machine Learning: Future and Potential Use in Assisting Membrane Material Design and Fabrication
Separation and Purification Reviews · 2023-05-11
Musabbir Jahan Talukder, Ali S. Alshami, Arash Tayyebi, Nadhem Ismail, Xue Yu
Read original paper ↗ ·Coarse-grained modeling of zeolitic imidazolate framework-8 using MARTINI force fields
The Journal of Chemical Physics · 2023-05-17
Cecilia M. S. Alvares, Guillaume Maurin, Rocío Semino
Read original paper ↗ ·High-throughput and machine learning approaches for the discovery of metal organic frameworks
APL Materials · 2023-06-01
Xiangyu Zhang, Zezhao Xu, Zidi Wang, Huiyu Liu, Yingbo Zhao, Shan Hao Jiang
Read original paper ↗ ·Identification and analysis of the actual research issue of "Digital transformation of the oil and gas sector"
Actual Problems of Oil and Gas · 2023-06-01
Boris Chigarev
Read original paper ↗ ·Materials cartography: A forward-looking perspective on materials representation and devising better maps
APL Machine Learning · 2023-06-01
Steven B. Torrisi, Martin Z. Bazant, Alexander E. Cohen, Min Gee Cho, Jens S. Hummelshøj, Linda Hung, Gaurav Ashish Kamat, Arash Khajeh, Adeesh Kolluru, Xiangyun Lei, Handong Ling, Joseph H. Montoya, Tim Mueller, Aini Palizhati, Benjamin Paren, Brandon K. Phan, Jacob Pietryga, Elodie Sandraz, Daniel Schweigert, Yang Shao‐Horn, Amalie Trewartha, Ruijie Zhu, Debbie Zhuang, Shijing Sun
Read original paper ↗ ·Untitled work
Actual Problems of Oil and Gas · 2023-06-01
Read original paper ↗ ·High-Throughput Computational Screening and Machine Learning Model for Accelerated Metal–Organic Frameworks Discovery in Toluene Vapor Adsorption
The Journal of Physical Chemistry C · 2023-06-02
Xiaohua Liu, Ruihan Wang, Xin Wang, Dingguo Xu
Read original paper ↗ ·Zn(II)-Based Mixed-Ligand-Bearing Coordination Polymers as Multi-Responsive Fluorescent Sensors for Detecting Dichromate, Iodide, Nitenpyram, and Imidacloprid
Polymers · 2023-06-02
Dan Wang, Lin-Huan Du, Long Li, Yumeng Wei, Tao Wang, Jun Cheng, Bin Du, Yi Jia, Baoyi Yu
Read original paper ↗ ·A large-scale screening of metal-organic frameworks for iodine capture combining molecular simulation and machine learning
Frontiers of Environmental Science & Engineering · 2023-07-15
Min Cheng, Zhiyuan Zhang, Shihui Wang, Kexin Bi, Kong‐Qiu Hu, Zhongde Dai, Yiyang Dai, Chong Liu, Li Zhou, Xu Ji, Wei‐Qun Shi
Read original paper ↗ ·Unified roadmap for ZIF-8 Nucleation and Growth: Machine Learning Analysis of Synthetic Variables and their Impact on Particle Size and Morphology
ChemRxiv · 2023-07-19
Juan A. Allegretto, Diego Onna, Laura Ación, Sara A. Bilmes, Omar Azzaroni, Matías Rafti
Read original paper ↗ ·Prediction of Specific Surface Area of Metal-Organic Frameworks by Graph Kernels
Unknown journal · 2023-07-24
Yu Morikawa, Kilho Shin, Masataka Kubouchi, Hiroaki Ohshima
Read original paper ↗ ·Active Learning for Adsorption Simulations: Evaluation, Criteria Analysis, and Recommendations for Metal–Organic Frameworks
Industrial & Engineering Chemistry Research · 2023-08-08
Etinosa Osaro, Krishnendu Mukherjee, Yamil J. Colón
Read original paper ↗ ·Research progress of metal-organic frameworks-based materials for CO2 capture and CO2-to-alcohols conversion
Coordination Chemistry Reviews · 2023-08-21
Xinmeng Xu, Qiuhua Wei, Zuoshuai Xi, Danfeng Zhao, Juan Chen, Jingjing Wang, Jingjing Wang, Xiaowei Zhang, Hongyi Gao, Ge Wang
Read original paper ↗ ·Equation of state predictions for ScF3 and CaZrF6 with neural network-driven molecular dynamics
The Journal of Chemical Physics · 2023-08-28
John P. Stoppelman, Angus Paul Wilkinson, Jesse G. McDaniel
Read original paper ↗ ·DFT-Quality Adsorption Simulations in Metal–Organic Frameworks Enabled by Machine Learning Potentials
Journal of Chemical Theory and Computation · 2023-08-29
Ruben Goeminne, Louis Vanduyfhuys, Véronique Van Speybroeck, Toon Verstraelen
Read original paper ↗ ·Advances in data‐assisted high‐throughput computations for material design
Materials Genome Engineering Advances · 2023-09-01
Dingguo Xu, Qiao Zhang, Xiangyu Huo, Yitong Wang, Mingli Yang
Read original paper ↗ ·Transmission Porosimetry Study on High‐quality Zr‐fum‐MOF Thin Films
Chemistry - An Asian Journal · 2023-09-15
Nils Christian Keppler, Adrian Hannebauer, Karen D. J. Hindricks, Saskia Zailskas, Andreas Schaate, Peter J. Behrens
Read original paper ↗ ·On the shoulders of high-throughput computational screening and machine learning: Design and discovery of MOFs for H2 storage and purification
Materials Today Energy · 2023-09-22
Çiğdem Altıntaş, Seda Keskın
Read original paper ↗ ·Machine Learning-Assisted Low-Dimensional Electrocatalysts Design for Hydrogen Evolution Reaction
Nano-Micro Letters · 2023-10-13
Jin Li, Naiteng Wu, Jian Zhang, Hong‐Hui Wu, Kunming Pan, Yingxue Wang, Guilong Liu, Xianming Liu, Zhenpeng Yao, Qiaobao Zhang
Read original paper ↗ ·Host–guest interactions in framework materials: Insight from modeling
Chemical Physics Reviews · 2023-10-20
Michelle Ernst, Jack D. Evans, Ganna Gryn’ova
Read original paper ↗ ·Application of machine learning in MOFs for gas adsorption and separation
Materials Research Express · 2023-11-13
Chao He Yang, Jingjing Qi, Anquan Wang, Jingyu Zha, Chao Liu, Shupeng Yao
Read original paper ↗ ·Machine learning aided computational exploration of metal–organic frameworks with open Cu sites for the effective separation of hydrogen isotopes
Separation and Purification Technology · 2023-12-10
Yanling Chen, Yunpan Ying, Yizhen Situ, Wenxuan Li, Jiahao Ren, Tongan Yan, Qingyuan Yang
Read original paper ↗ ·MOF-GRU: A MOFid-Aided Deep Learning Model for Predicting the Gas Separation Performance of Metal–Organic Frameworks
ACS Applied Materials & Interfaces · 2023-12-12
Wenxuan Li, Yizhen Situ, Lifeng Ding, Yanling Chen, Qingyuan Yang
Read original paper ↗ ·Metal‐Organic Framework (MOF)‐Based Clean Energy Conversion: Recent Advances in Unlocking its Underlying Mechanisms
Small · 2023-12-21
Zheng Zhu, Jingjing Duan, Sheng Chen
Read original paper ↗ ·Drug delivery system tailoring via metal-organic framework property prediction using machine learning: A disregarded approach
Materials Today Communications · 2023-12-23
Niki Pouyanfar, Mahnaz Ahmadi, Seyed Mohammad Ayyoubzadeh, Fatemeh Ghorbani-Bidkorpeh
Read original paper ↗ ·Advances and Applications of Metal‐Organic Frameworks (MOFs) in Emerging Technologies: A Comprehensive Review
Global Challenges · 2023-12-30
Dongxiao Li, Anurag Yadav, Hong Zhou, Kaustav Roy, Pounraj Thanasekaran, Chengkuo Lee
Read original paper ↗ ·