Papers citing MOF Synthesis Prediction Enabled by Automatic Data Mining and Machine Learning**
MOFGalaxyNet: a social network analysis for predicting guest accessibility in metal–organic frameworks utilizing graph convolutional networks
Journal of Cheminformatics · 2023-10-11
Mehrdad Jalali, A. D. Dinga Wonanke, Christof Wöll
Read original paper ↗ ·Application of Fe-MOFs in Photodegradation and Removal of Air and Water Pollutants: A Review
Molecules · 2023-10-17
Jun Cai, Peng Yang, Yanxin Jiang, Li Li, Hua Wang, Kongzhai Li
Read original paper ↗ ·Data-Driven Predetermination of Cu Oxidation State in Copper Nanoparticles: Application to the Synthesis by Laser Ablation in Liquid
Journal of the American Chemical Society · 2023-10-31
Runpeng Miao, Michael Bissoli, Andrea Basagni, Ester Marotta, Stefano Corni, Vincenzo Amendola
Read original paper ↗ ·Leveraging Machine Learning for Metal–Organic Frameworks: A Perspective
Langmuir · 2023-11-03
Hongjian Tang, Lunbo Duan, Jianwen Jiang
Read original paper ↗ ·ChatGPT Research Group for Optimizing the Crystallinity of MOFs and COFs
ACS Central Science · 2023-11-10
Zhiling Zheng, Oufan Zhang, Ha Lac Nguyen, Nakul Rampal, Ali H. Alawadhi, Zichao Rong, Teresa L. Head-Gordon, Christian Borgs, Jennifer Chayes, Omar M. Yaghi
Read original paper ↗ ·Biomedical Metal–Organic Framework Materials: Perspectives and Challenges
Advanced Functional Materials · 2023-11-21
Alec Wang, Madeline Walden, Romy L. Ettlinger, Fabian M. Kiessling, Jeremiah J. Gassensmith, Twan Lammers, Stefan Wuttke, Quim Peña
Read original paper ↗ ·Fabrication of Oriented Polycrystalline MOF Superstructures
Advanced Materials · 2023-11-28
Mercedes Linares‐Moreau, Lea A. Brandner, Miriam De J. Velásquez-Hernández, Javier Fonseca, Youven Benseghir, Jia Min Chin, Daniel Maspoch, Christian J. Doonan, Paolo Falcaro
Read original paper ↗ ·High-aspect-ratio nanostructured hydroxyapatite: towards new functionalities for a classical material
Chemical Science · 2023-12-01
Anna Díez-Escudero, Montserrat Español, Maria‐Pau Ginebra
Read original paper ↗ ·Language models and protocol standardization guidelines for accelerating synthesis planning in heterogeneous catalysis
Nature Communications · 2023-12-02
Manu Suvarna, Alain C. Vaucher, Sharon Mitchell, Teodoro Laino, Javier Pérez‐Ramírez
Read original paper ↗ ·Accelerated Discovery of Metal–Organic Frameworks for CO 2 Capture by Artificial Intelligence
Industrial & Engineering Chemistry Research · 2023-12-25
Hasan Can Gülbalkan, Gokhan Onder Aksu, Goktug Ercakir, Seda Keskın
Read original paper ↗ ·Automated electrosynthesis reaction mining with multimodal large language models (MLLMs)
Chemical Science · 2024-01-01
Shi Xuan Leong, Sergio Pablo‐García, Zijian Zhang, Alán Aspuru‐Guzik
Read original paper ↗ ·Chemical space analysis and property prediction for carbon capture solvent molecules
Digital Discovery · 2024-01-01
James L. McDonagh, Stamatia Zavitsanou, Alexander Harrison, Dimitry Zubarev, Theordore van Kessel, Benjamin H. Wunsch, Flaviu S. Cipcigan
Read original paper ↗ ·Digital chemistry: navigating the confluence of computation and experimentation – definition, status quo, and future perspective
Digital Discovery · 2024-01-01
Stefan Bräse
Read original paper ↗ ·Image and data mining in reticular chemistry powered by GPT-4V
Digital Discovery · 2024-01-01
Zhiling Zheng, Zhiguo He, Omar Khattab, Nakul Rampal, Matei Zaharia, Christian Borgs, Jennifer Chayes, Omar M. Yaghi
Read original paper ↗ ·Nanoarchitectonics of Metal–Organic Frameworks (MOFs) for energy and sensing applications
Elsevier eBooks · 2024-01-01
Melina Arcidiácono, Ana Paula Mártire, Juan A. Allegretto, Matías Rafti, Waldemar A. Marmisollé, Omar Azzaroni
Read original paper ↗ ·Realizing altermagnetism in two-dimensional metal–organic framework semiconductors with electric-field-controlled anisotropic spin current
Chemical Science · 2024-01-01
Yixuan Che, Haifeng Lv, Xiaojun Wu, Jinlong Yang
Read original paper ↗ ·Unifying Mixed Gas Adsorption in Molecular Sieve Membranes and Mofs Using Machine Learning
SSRN Electronic Journal · 2024-01-01
Subhadeep Dasgupta, Amal RS, Prabal Kumar Maiti
Read original paper ↗ ·Utilizing Data Mining for the Synthesis of Functionalized Tungsten Oxide with Enhanced Oxygen Vacancies for Highly Sensitive Detection of Triethylamine
ACS Applied Materials & Interfaces · 2024-01-24
Shaofeng Shao, Liangwei Yan, Lei Zhang, Jun Zhang, Zuo‐Xi Li, Hyoun Woo Kim, Sang Sub Kim
Read original paper ↗ ·Reviewing direct air capture startups and emerging technologies
Cell Reports Physical Science · 2024-01-31
Eryu Wang, Rahul Navik, Yihe Miao, Qi Gao, David Izikowitz, Lei Chen, Jia Li
Read original paper ↗ ·Topological Data Analysis Combined with High-Throughput Computational Screening of Hydrophobic Metal–Organic Frameworks: Application to the Adsorptive Separation of C3 Components
Nanomaterials · 2024-01-31
Yujuan Yang, Shuya Guo, Shuhua Li, Yufang Wu, Zhiwei Qiao
Read original paper ↗ ·MOFs-Based Materials for Solid-State Hydrogen Storage: Strategies and Perspectives
Chemical Engineering Journal · 2024-02-15
Yuting Li, Qifei Guo, Zhao Ding, Han Jiang, Hang Yang, Wenjia Du, Yang Zheng, Kaifu Huo, Leon L. Shaw
Read original paper ↗ ·Coarse-Grained Crystal Graph Neural Networks for Reticular Materials Design
Journal of Chemical Information and Modeling · 2024-03-08
Vadim Korolev, Artem A. Mitrofanov
Read original paper ↗ ·Evaluation of Open-Source Large Language Models for Metal–Organic Frameworks Research
Journal of Chemical Information and Modeling · 2024-03-26
Xuefeng Bai, Ya-Bo Xie, Xin Zhang, Honggui Han, Jian‐Rong Li
Read original paper ↗ ·Metal-organic framework-based biosensing platforms for diagnosis of bacteria-induced infectious diseases
TrAC Trends in Analytical Chemistry · 2024-04-15
Juanrui Du, Fangyu Shi, Kun Wang, Kun Wang, Qi Han, Yujia Shi, Wei Zhang, Yuning Gao, Biao Dong, Lin Wang, Lin He Xu
Read original paper ↗ ·Optimizing the Synthesis Parameters of Double Perovskites with Machine Learning Using a Multioutput Regression Model
The Journal of Physical Chemistry C · 2024-04-18
Tatiane Pretto, Fábio Baum, Rogério Almeida Gouvêa, Alexandre G. Brolo, Marcos J. L. Santos
Read original paper ↗ ·Embracing data science in catalysis research
Nature Catalysis · 2024-04-23
Manu Suvarna, Javier Pérez‐Ramírez
Read original paper ↗ ·Machine learning: An accelerator for the exploration and application of advanced metal-organic frameworks
Chemical Engineering Journal · 2024-05-01
Ruolin Du, Ruiqi Xin, Han Wang, Wenkai Zhu, Rui Li, Wei Liu
Read original paper ↗ ·The Open DAC 2023 Dataset and Challenges for Sorbent Discovery in Direct Air Capture
ACS Central Science · 2024-05-01
Anuroop Sriram, Sihoon Choi, Xiaohan Yu, Logan M. Brabson, Abhishek Das, Zachary W. Ulissi, Matt Uyttendaele, Andrew James Medford, David S. Sholl
Read original paper ↗ ·State-of-the-art advancements in metal−organic framework nanoarchitectures for catalytic applications
Applied Materials Today · 2024-05-04
Abdelkarim Chaouiki, Siti Fatimah, Maryam Chafiq, Jungho Ryu, Young Gun Ko
Read original paper ↗ ·Combining machine learning and metal–organic frameworks research: Novel modeling, performance prediction, and materials discovery
Coordination Chemistry Reviews · 2024-05-08
Chunhua Li, Luqian Bao, Yixin Ji, Zhehang Tian, Mengyao Cui, Yubo Shi, Zhilei Zhao, Xianyou Wang
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
Chemistry of Materials · 2024-05-20
Juan A. Allegretto, Diego Onna, Sara A. Bilmes, Omar Azzaroni, Matías Rafti
Read original paper ↗ ·Synergistic sorption strategies: Ionic liquids-modified MOF matrices for adsorption processes
Separation and Purification Technology · 2024-05-22
Maryam Chafiq, Siti Fatimah, Abdelkarim Chaouiki, Young Gun Ko
Read original paper ↗ ·Enhancing the Quality of MOF Thin Films for Device Integration Through Machine Learning: A Case Study on HKUST‐1 SURMOF Optimization
Advanced Functional Materials · 2024-06-03
Lena Pilz, Meike Koenig, Matthias Schwotzer, Hartmut Gliemann, Christof Wöll, Manuel M. Tsotsalas
Read original paper ↗ ·Unifying mixed gas adsorption in molecular sieve membranes and MOFs using machine learning
Separation and Purification Technology · 2024-06-24
Subhadeep Dasgupta, Amal R.S., Prabal Kumar Maiti
Read original paper ↗ ·Current update and prospects in the development of conductive metal-organic framework electrodes for lithium-based batteries
Materials Today Sustainability · 2024-06-28
Samuel Oluwakayode Ajayi, Tarekegn Heliso Dolla, Ludwe Luther Sikeyi, Akinshola Olabamiji Akinola, Winny Kgabo Maboya, Xinying Liu, Peter Ramashadi Makgwane, Mkhulu Kenneth Mathe
Read original paper ↗ ·Computer-Aided Design of Covalent Organic Frameworks for SF6 Capture: The Combination of High-Throughput Screening and Machine Learning
The Journal of Physical Chemistry C · 2024-07-02
Junjie Ning, Kun Shen, Rui Zhao, Kunqi Gao, Jingyu Cai, Linxi Hou
Read original paper ↗ ·Simulation and Machine Learning-Integrated Investigation of Double-Linker MOFs for the Separation of CF4 from CH4 and N2
Industrial & Engineering Chemistry Research · 2024-07-03
Hakan Demir, İlknur Eruçar
Read original paper ↗ ·Unveiling the limitless potential: Exploring metal–organic frameworks (MOFs)/MXene based construction materials
Case Studies in Construction Materials · 2024-07-29
Shaik Inayath Basha, Syed Shaheen Shah, Aasif Helal, Md. Abdul Aziz, Doo‐Yeol Yoo
Read original paper ↗ ·Rapid Discovery of Gas Response in Materials Via Density Functional Theory and Machine Learning
Energy & environment materials · 2024-08-02
Shasha Gao, Yongchao Cheng, Chen Lü, Sheng Guo Huang
Read original paper ↗ ·MOFs with the Stability for Practical Gas Adsorption Applications Require New Design Rules
ChemRxiv · 2024-08-07
Changhwan Oh, Aditya Nandy, Shuwen Yue, Heather J. Kulik
Read original paper ↗ ·Transitioning metal–organic frameworks from the laboratory to market through applied research
Nature Materials · 2024-08-08
Ashley M. Wright, Matthew T. Kapelewski, Stefan Marx, Omar K. Farha, William Morris
Read original paper ↗ ·Machine Learning Optimizing Enzyme/ZIF Biocomposites for Enhanced Encapsulation Efficiency and Bioactivity
JACS Au · 2024-08-12
Weibin Liang, Sisi Zheng, Ying Shu, Jun Huang
Read original paper ↗ ·Self-Driving Laboratories for Chemistry and Materials Science
Chemical Reviews · 2024-08-13
Gary Tom, Stefan P. Schmid, Sterling G. Baird, Yang Cao, Kourosh Darvish, Han Hao, Stanley Lo, Sergio Pablo‐García, Ella Miray Rajaonson, Marta Skreta, Naruki Yoshikawa, Samantha Corapi, Gun Deniz Akkoc, Felix Strieth‐Kalthoff, Martin T. Seifrid, Alán Aspuru‐Guzik
Read original paper ↗ ·Molecular simulations and deep neural networks‐based interpretable machine learning modelling of reverse adsorptive MOFs for ethane/ethylene separation
The Canadian Journal of Chemical Engineering · 2024-08-20
Khushboo Yadava, Shrey Srivastava, Ashutosh Yadav
Read original paper ↗ ·Machine learning to optimize nonlinear conductive performance of composites for self‐adaptive electromagnetic shielding
Polymer Composites · 2024-08-21
Hongfei Li, Yazhou Chen, Linsen Zhou, Yan Wang, Wei Cao, Zhaoming Qu
Read original paper ↗ ·Computational and Machine Learning Methods for CO 2 Capture Using Metal–Organic Frameworks
ACS Nano · 2024-08-22
Hossein Mashhadimoslem, Mohammad Ali Abdol, Peyman Karimi, Kourosh E. Zanganeh, Ahmed Shafeen, Ali Elkamel, Milad Kamkar
Read original paper ↗ ·Osteoinductive biomaterials: Machine learning for prediction and interpretation
Acta Biomaterialia · 2024-08-23
Sicong Lin, Sicong Lin, Yan Zhuang, Ke Chen, Jian Lü, Kefeng Wang, Lin Han, Mufei Li, Mufei Li, Xiangfeng Li, Xiangdong Zhu, Mingli Yang, Guangfu Yin, Jiangli Lin, Xingdong Zhang
Read original paper ↗ ·Rise of Metal–Organic Frameworks: From Synthesis to E-Skin and Artificial Intelligence
ACS Applied Materials & Interfaces · 2024-08-23
Qi‐Jun Sun, Wentao Guo, Shuzheng Liu, Xin‐Gui Tang, Vellaisamy A. L. Roy, Xin-Hua Zhao
Read original paper ↗ ·How the planarity of two dimensional covalent organic frameworks affect gas adsorption and diffusion: A data mining, simulation, and experiment united study
AIChE Journal · 2024-08-28
Xue Ma, Shuna Yang, Nan Ma, Yuan Zhang, Zijun Ding, Rongyu Pan, Guojian Chen, Zhouyang Long, Yunpan Ying, Minman Tong
Read original paper ↗ ·ROBERT : Bridging the Gap Between Machine Learning and Chemistry
Wiley Interdisciplinary Reviews Computational Molecular Science · 2024-09-01
David Dalmau, Juan V. Alegre‐Requena
Read original paper ↗ ·