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Transition metal dichalcogenides exhibit a wide range of semiconducting, metallic, correlated, and topological electronic states that arise from strong coupling between lattice structure, dimensionality, and electronic degrees of freedom.…

Materials Science · Physics 2026-05-19 Anzar Ali , Md Ezaz Hasan Khan , Mahmoud Abdel-Hafiez

Defects dictate the properties of many functional materials. To understand the behaviour of defects and their impact on physical properties, it is necessary to identify the most stable defect geometries. However, global structure searching…

Materials Science · Physics 2024-06-12 Irea Mosquera-Lois , Seán R. Kavanagh , Alex M. Ganose , Aron Walsh

Metal organic framework (MOF) materials in general, and MOF-74 in particular, have promising properties for many technologically important processes. However, their instability under humid conditions severely restricts practical use. We…

Materials Science · Physics 2016-04-04 S. Zuluaga , E. M. A. Fuentes-Fernandez , K. Tan , F. Xu , J. Li , Y. J. Chabal , T. Thonhauser

A thin oxide layer protects metals from electrochemical corrosion and hence the stability of this oxide layer is crucial for corrosion resistance of metals. The dynamics of cationic and anionic point defects which are injected into this…

Materials Science · Physics 2019-01-01 K. Ragavendran , Bosco Emmanuel

Complex systems with nonlinear response mechanisms can be applied as reservoir computers for energy-efficient machine learning tasks. Historically explored at the macro- and meso-scale, physical reservoir computing has recently been…

Disordered Systems and Neural Networks · Physics 2026-02-23 Guy Greenbaum , Will R. Branford , Andrew L. Goodwin

Vacancies play a pivotal role in determining the physical and chemical properties of materials. Introducing vacancies into two-dimensional (2D) materials offers a promising strategy for developing high-performance electrode materials for…

Defect engineering offers an important route to property tuning of nanostructured coatings for advanced applications. Transition metal nitrides, such as CrN, are widely used for their mechanical resilience, but their nitrogen-rich analogue…

Materials Science · Physics 2025-10-08 Barsha Bhattacharjee , Emilia Olsson

Vacancy engineering, the intentional control of atomic-scale vacancies in metals and alloys, is emerging as a powerful yet underexplored strategy for tailoring microstructures and optimizing performance across diverse applications. By…

The tunability of physical properties in transition metal dichalcogenides (TMDCs) through point defect engineering offers significant potential for the development of next-generation optoelectronic and high-tech applications. Building upon…

Materials Science · Physics 2025-01-30 Abdalaziz Al-Maeeni , Denis Derkach , Andrey Ustyuzhanin

The question of stability against diffusional mixing at the prototypical LaAlO3/SrTiO3(001) interface is explored using a multi-faceted experimental and theoretical approach. We combine analytical methods with a range of sensitivities to…

This chapter illustrates the use of defect physics as a conceptual and theoretical framework for understanding and designing battery materials. It starts with a methodology for first-principles studies of defects in complex transition-metal…

Materials Science · Physics 2022-11-15 Khang Hoang

Combining first-principles density functional theory simulations with IR and Raman experiments, we determine the frequency shift of vibrational modes of CO2 when physiadsorbed in the iso-structural metal organic framework materials Mg-MOF74…

Materials Science · Physics 2015-06-04 Yanpeng Yao , Nour Nijem , Jing Li , Yves J. Chabal , David C. Langreth , T. Thonhauser

Synthesizing distinct phases and controlling the crystalline defects in them are key concepts in materials and process design. These approaches are usually described by decoupled theories, with the former resting on equilibrium…

In a world where capture and separation processes represent above 10% of global energy consumption, novel porous materials, such as Metal-Organic Frameworks (MOFs) used in adsorption-based processes are a promising alternative to dethrone…

Materials Science · Physics 2022-10-20 Azahara Luna-Triguero , Eduardo Andres-Garcia , Pedro Leo , Willy Rook , Freek Kapteijn

Metal-organic frameworks (MOFs) are promising materials for methane capture due to their high surface area and tunable properties. Metal substitution represents a powerful strategy to enhance MOF performance, yet systematic exploration of…

Materials Science · Physics 2025-04-30 Karim Aljamal , Xiao Wang

Using density functional theory (DFT), we investigate mechanical properties of a few 2D metal-organic frameworks (MOFs) and covalent-organic frameworks (COFs) having Dirac and flat bands. These porous materials have become a subject of…

Materials Science · Physics 2023-03-15 Priyadarshini Kapri , Takuto Kawakami , Mikito Koshino

The electronic transport through Au-(Cu$_{2}$O)$_n$-Au junctions is investigated using first-principles calculations and the nonequilibrium Green's function method. The effect of varying the thickness (i.e., $n$) is studied as well as that…

Materials Science · Physics 2016-06-07 Mohamed M. Fadlallah , Ulrich Eckern , Udo Schwingenschlögl

The paper shows an inf-sup stability property for several well-known 2D and 3D Stokes elements on triangulations which are not fitted to a given smooth or polygonal domain. The property implies stability and optimal error estimates for a…

Numerical Analysis · Mathematics 2017-04-24 Johnny Guzmán , Maxim Olshanskii

Disorder and homogeneity are two concepts that refer to spatial variation of the system potential. In condensed-matter systems disorder is typically divided into two types; those with local parameters varying from site to site (diagonal…

Disordered Systems and Neural Networks · Physics 2022-11-14 Z. Ovadyahu

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