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Related papers: Metal-Organic Frameworks in Semiconductor Devices:…

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Metal-organic frameworks (MOFs) marry inorganic nodes, organic edges, and topological nets into programmable porous crystals, yet their astronomical design space defies brute-force synthesis. Generative modeling holds ultimate promise, but…

Chemical Physics · Physics 2025-05-14 Chenru Duan , Aditya Nandy , Sizhan Liu , Yuanqi Du , Liu He , Yi Qu , Haojun Jia , Jin-Hu Dou

Two-dimensional (2D) metal-organic frameworks (MOFs) in a kagome lattice can exhibit strong electron-electron interactions, which can lead to tunable quantum phases including many exotic magnetic phases. While technological developments of…

Strongly Correlated Electrons · Physics 2022-11-10 Bernard Field , Agustin Schiffrin , Nikhil V. Medhekar

Mutiferroics are a novel class of next generation multifunctional materials, which display simultaneous magnetic spin, electric dipole, and ferroelastic ordering, and have drawn increasing interest due to their multi-functionality for a…

Materials Science · Physics 2015-12-09 N. Ortega , Ashok Kumar , J. F. Scott , Ram S. Katiyar

Thermal properties of covalent organic frameworks (COFs) are of fundamental interest owing to exceptional heat conduction properties. Recent studies have suggested that their thermal conductivities can be enhanced by multiple factors such…

Materials Science · Physics 2025-07-31 Sungjae Kim , Taeyong Kim

Long-lived emissive materials based on room temperature phosphorescence (RTP) and thermally activated delayed fluorescence (TADF) are considered as the cornerstone of the development of optical sensors, security systems and solid-state…

Materials Science · Physics 2021-10-26 Mario Gutiérrez , Cristina Martín , Johan Hofkens , Jin-Chong Tan

Na-ion batteries (NIBs) are increasingly looked at as a viable alternative to Li-ion batteries due to the abundance, low cost, and thermal stability of Na-based systems. To improve the practical utilization of NIBs in applications, it is…

Materials Science · Physics 2024-12-17 Debolina Deb , Gopalakrishnan Sai Gautam

High charge mobility in active layers of organic electronic devices is often necessary for their efficient operation. As a result, search for high-mobility materials among the plethora of synthesizable organic semiconductors is of paramount…

Mesoscale and Nanoscale Physics · Physics 2019-09-17 Andrey Yu. Sosorev

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…

Metal-organic frameworks (MOFs) have emerged as promising materials for carbon capture applications due to their high CO2 capacities and tunable properties. Amongst the many possible MOFs, metal-substituted compounds based on M-DOBDC and…

Materials Science · Physics 2016-03-11 Hyun Seung Koh , Malay Kumar Rana , Jinhyung Hwang , Donald J. Siegel

We study the energetic stability and structural features of bimetallic metal-organic frameworks. Such heterometallic MOFs, which can result from partial substitutions between two types of cations, can have specific physical or chemical…

Materials Science · Physics 2019-04-22 Fabien Trousselet , Aurélien Archereau , Anne Boutin , François-Xavier Coudert

Metal-organic frameworks (MOFs) can provide exceptional porosity for molecular guest encapsulation useful for emergent applications in sensing, gas storage, drug delivery and optoelectronics. Central to the realisation of such applications…

Soft Condensed Matter · Physics 2021-01-05 Annika F. Möslein , Mario Gutiérrez , Boiko Cohen , Jin-Chong Tan

Hybrid glasses connect emerging fields of metal-organic frameworks (MOFs) with the glass-formation, amorphization, and melting processes of these structurally diverse and chemically versatile systems. Most zeolites, including MOFs,…

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

In recent years, many new materials have been developed and prepared to improve the performance of light-harvesting technologies and to develop new and attractive applications. The problem of stability of long-term operation of various…

Applied Physics · Physics 2023-09-28 O. Y. Semchuk , T. Gatti , S. Osella

Organic ferroelectric materials are in demand in the growing field of environmentally friendly, lightweight electronics. Donor-Acceptor charge transfer crystals have been recently proposed as a new class of organic ferroelectrics, which may…

Materials Science · Physics 2024-11-26 Alberto Girlando

Recent advances in generative models have introduced a new paradigm for the inverse design of inorganic materials, enabling the discovery of new crystalline structures with desired properties. However, existing generative models focus…

Materials Science · Physics 2025-11-19 Junkil Park , Junyoung Choi , Yousung Jung

The ability of metal-organic frameworks (MOFs) to gelate under specific synthetic conditions opens up new opportunities in the preparation and shaping of hierarchically porous MOF monoliths, which could be directly implemented for catalytic…

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…

Ultra-sensitive and highly selective iodine gas sensors play a crucial role during the nuclear radiation leak for a timely detection and mitigation of pollution, ensuring the safety of a vast number of operators and subsequent integrity of…

Instrumentation and Detectors · Physics 2022-02-23 Arun S. Babal , Samraj Mollick , Waqas Kamal , Steve Elston , Alfonso A. Castrejón-Pita , Stephen M. Morris , Jin-Chong Tan

Covalent organic frameworks (COFs) are promising adsorbents for gas adsorption and separation, while identifying the optimal structures among their vast design space requires efficient high-throughput screening. Conventional…

Machine Learning · Computer Science 2026-03-24 Zihan Li , Mingyang Wan , Mingyu Gao , Xishi Tai , Zhongshan Chen , Xiangke Wang , Feifan Zhang