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Although the tailored metal active sites and porous architectures of MOFs hold great promise for engineering challenges ranging from gas separations to catalysis, a lack of understanding of how to improve their stability limits their use in…

Materials Science · Physics 2021-06-28 Aditya Nandy , Chenru Duan , Heather J. Kulik

High-throughput screening of large hypothetical databases of metal-organic frameworks (MOFs) can uncover new materials, but their stability in real-world applications is often unknown. We leverage community knowledge and machine learning…

Identifying optimal synthesis conditions for metal-organic frameworks (MOFs) is a major challenge that can serve as a bottleneck for new materials discovery and development. Trial-and-error approach that relies on a chemist's intuition and…

Materials Science · Physics 2021-09-01 Hyunsoo Park , Yeonghun Kang , Wonyoung Choe , Jihan Kim

This research was focused on the efficient collection of experimental Metal-Organic Framework (MOF) data from scientific literature to address the challenges of accessing hard-to-find data and improving the quality of information available…

Materials Science · Physics 2024-04-23 Wonseok Lee , Yeonghun Kang , Taeun Bae , Jihan Kim

The enormous structural and chemical diversity of metal-organic frameworks (MOFs) forces researchers to actively use simulation techniques on an equal footing with experiments. MOFs are widely known for outstanding adsorption properties, so…

Materials Science · Physics 2021-11-22 Vadim V. Korolev , Yurii M. Nevolin , Thomas A. Manz , Pavel V. Protsenko

The extraction of Metal-Organic Frameworks (MOFs) synthesis route from literature has been crucial for the logical MOFs design with desirable functionality. The recent advent of large language models (LLMs) provides disruptively new…

Computation and Language · Computer Science 2025-02-26 Lei Shi , Zhimeng Liu , Yi Yang , Weize Wu , Yuyang Zhang , Hongbo Zhang , Jing Lin , Siyu Wu , Zihan Chen , Ruiming Li , Nan Wang , Zipeng Liu , Huobin Tan , Hongyi Gao , Yue Zhang , Ge Wang

Accurately identifying the synthesis conditions of metal-organic frameworks (MOFs) is essential for guiding experimental design, yet remains challenging because relevant information in the literature is often scattered, inconsistent, and…

Artificial Intelligence · Computer Science 2026-02-24 Zuhong Lin , Daoyuan Ren , Kai Ran , Jing Sun , Songlin Yu , Xuefeng Bai , Xiaotian Huang , Haiyang He , Pengxu Pan , Ying Fang , Zhanglin Li , Haipu Li , Jingjing Yao

Metal-organic frameworks (MOFs) incorporating open metal sites (OMS) have been identified as promising sorbents for many societally relevant-adsorption applications including CO$_2$ capture, natural gas purification and H$_2$ storage. It is…

Metal-organic frameworks (MOFs) are an incredibly diverse group of highly porous hybrid materials, which are interesting for a wide range of possible applications. For a reliable description of many of their properties accurate…

Materials Science · Physics 2024-11-26 Sandro Wieser , Egbert Zojer

Metal-organic frameworks (MOFs) are nanoporous compounds composed of metal ions and organic linkers. MOFs play an important role in industrial applications such as gas separation, gas purification, and electrolytic catalysis. Important MOF…

Machine Learning · Computer Science 2020-11-02 Shehtab Zaman , Christopher Owen , Kenneth Chiu , Michael Lawler

Metal-organic frameworks (MOFs) are excellent candidates for water harvesting due to their tunable pore environments, which can be precisely engineered to capture and release water in arid conditions. Integrating artificial intelligence…

Materials Science · Physics 2026-05-29 Reid A. Coyle , Shyam Chand Pal , Peter Walther , Saeun Park , Bin Feng , Zhiling Zheng

Metal-organic frameworks (MOFs) are porous crystalline materials with broad applications such as carbon capture and drug delivery, yet accurately predicting their 3D structures remains a significant challenge. While Large Language Models…

Machine Learning · Computer Science 2026-01-15 Mianzhi Pan , JianFei Li , Peishuo Liu , Botian Wang , Yawen Ouyang , Yiming Rong , Hao Zhou , Jianbing Zhang

Recently, metal-organic frameworks (MOFs) have demonstrated their potential as solid-state electrolytes in proton exchange membrane fuel cells. However, the number of MOFs reported to exhibit proton conductivity remains limited, and the…

Materials Science · Physics 2026-04-21 Seunghee Han , Byeong Gwan Lee , Dae Woon Lim , Jihan Kim

As large language models (LLMs) are increasingly deployed in high-stakes and operational settings, evaluation strategies based solely on aggregate accuracy are often insucient to characterize system reliability. This study proposes a…

Artificial Intelligence · Computer Science 2026-05-06 Hikmat Karimov , Rahid Zahid Alekberli

Metal-organic frameworks (MOFs) have emerged as promising materials for various applications due to their unique structural properties and versatile functionalities. This study presents a comprehensive investigation of machine learning…

Machine Learning · Computer Science 2025-07-08 Zhuo Zheng , Keyan Liu , Xiyuan Zhu

Due the alarming rate of climate change, the implementation of efficient CO$_2$ capture has become crucial. This project aims to create an algorithm that predicts the uptake of CO$_2$ adsorbing Metal-Organic Frameworks (MOFs) by using…

Machine Learning · Computer Science 2021-10-13 Mahati Manda

Metal-organic frameworks (MOFs) combine high porosity with structural fragility, raising important questions about their mechanical stability. We develop a rigidity-based framework in which spring networks parameterized by UFF4MOF are used…

Materials Science · Physics 2026-03-06 Christopher M. Owen , Michael J. Lawler

Metal-organic frameworks (MOFs) are a family of materials that have high porosity and structural tunability and hold great potential in various applications, many of which requiring a proper understanding of the thermal transport…

Materials Science · Physics 2023-08-04 Penghua Ying , Ting Liang , Ke Xu , Jin Zhang , Jianbin Xu , Zheng Zhong , Zheyong Fan

Metal--organic frameworks (MOFs) are a family of chemically diverse materials, with applications in a wide range of fields covering engineering, physics, chemistry, biology and medicine. Research so far has focused almost entirely on…

Understanding how structural flexibility affects the properties of metal-organic frameworks (MOFs) is crucial for the design of better MOFs for targeted applications. Flexible MOFs can be studied with molecular dynamics simulations, whose…

Materials Science · Physics 2024-05-13 Abhishek Sharma , Stefano Sanvito
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