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Metal-organic frameworks (MOFs) are porous materials formed by interconnected metal atoms via organic linkers, resulting in high surface area and tuneable porosity, making them exceptional candidates for CO2 capture. However, their…

Materials Science · Physics 2025-07-23 Ashok Yacham , Tarak K. Patra , Jithin John Varghese , Richa Sharma

Metal-organic frameworks (MOFs) are of immense interest in applications such as gas storage and carbon capture due to their exceptional porosity and tunable chemistry. Their modular nature has enabled the use of template-based methods to…

Chemical Physics · Physics 2023-10-19 Xiang Fu , Tian Xie , Andrew S. Rosen , Tommi Jaakkola , Jake Smith

Metal-organic frameworks (MOFs) have been widely investigated for challenging catalytic transformations due to their well-defined structures and high degree of synthetic tunability. These features, at least in principle, make MOFs ideally…

Materials Science · Physics 2021-10-19 Andrew S. Rosen , Justin M. Notestein , Randall Q. Snurr

Metal-organic framework (MOF) derived materials formed through high temperature processes show great potential as catalysts. However, understanding of structure-property relationships between the initial MOF and the resulting MOF-derived…

Materials Science · Physics 2026-01-26 Connor W. Edwards , Oliver M. Linder-Patton , Jack D. Evans

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

Metal-organic frameworks (MOFs) are a specific class of hybrid, crystalline, nano-porous materials made of metal-ion-based nodes and organic linkers. Most of the studies on MOFs largely focused on porosity, chemical and structural…

Materials Science · Physics 2024-01-17 Ranjeev Kumar Parashar , Priyajit Jash , Michael Zharnikov , Prakash Chandra Mondal

The discovery of Metal-Organic Frameworks (MOFs) with application-specific properties remains a central challenge in materials chemistry, owing to the immense size and complexity of their structural design space. Conventional computational…

Machine Learning · Computer Science 2025-06-03 Srivathsan Badrinarayanan , Rishikesh Magar , Akshay Antony , Radheesh Sharma Meda , Amir Barati Farimani

Metal-organic frameworks (MOFs) are a highly tunable class of crystalline materials where metal atoms or clusters are connected by organic linkers. They offer a versatile platform for exploring quantum phenomena such as entangled magnetism,…

Strongly Correlated Electrons · Physics 2025-12-25 Natalia Drichko , V. Sara Thoi , N. Peter Armitage

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…

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

The zeolitic imidazolate frameworks (ZIF) have emerged as a promising candidate for catalysis, carbon-dioxide (CO$_{2}$) capture and storage as well as flue gas separation due to their tunable porosity and chemical stability. ZIFs consists…

Materials Science · Physics 2025-04-10 Michael O. Atambo , Korir Kiptiemoi

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

This study delves into the transformation journey of Zr-based Metal-Organic Frameworks (MOFs), focusing on enhancing their mechanical properties and hydrogen storage capacities through doping regulation. MOFs, a versatile class of…

Materials Science · Physics 2026-01-07 Yanhuai Ding , Dan Qian , Zhipeng Liu

We investigate the atomistic mechanism of homogeneous nucleation during solidification in molybdenum employing transition path sampling. The mechanism is characterized by the formation of a pre-structured region of high bond-orientational…

Materials Science · Physics 2020-10-16 Sarath Menon , Grisell Díaz Leines , Ralf Drautz , Jutta Rogal

Metal-organic frameworks (MOFs) are crystalline materials consisting of metal centers and organic linkers forming open and porous structures. They have been extensively studied due to various possible applications exploiting their large…

Materials Science · Physics 2019-11-20 Tomas Kamencek , Natalia Bedoya-Martínez , Egbert Zojer

There is an increasing interest in the amorphous states of metal-organic frameworks (MOFs) and porous coordination polymers, which can be produced by pressure-induced amorphization, temperature-induced amorphization, melt-quenching,…

Materials Science · Physics 2022-06-20 Nicolas Castel , François-Xavier Coudert

Magnetic metal-organic frameworks (MMOFs), where magnetic metal nodes are connected into a crystal structure by organic linkers, have a potential to host exotic magnetic states. We present a study of bulk magnetic properties of four…

Metastable polymorphs often result from the interplay between thermodynamics and kinetics. Despite advances in predictive synthesis for solution-based techniques, there remains a lack of methods to design solid-state reactions targeting…

Well-tempered metadynamics simulations are employed to explore the phase diagram of ZIF-4, a porous crystalline metal-organic framework of industrial relevance. Despite the vast amount of experimental efforts, the phase diagram that…

Materials Science · Physics 2024-07-19 Emilio Mendez , Rocio Semino

Simulating finite temperature phase transitions from first-principles is computationally challenging. Recently, molecular dynamics (MD) simulations using machine-learned force fields (MLFFs) have opened a new avenue for finite-temperature…