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Related papers: Engineering Point Defects in MoS2 for Tailored Mat…

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Local strain engineering is an exciting approach to tune the optoelectronic properties of materials. Two dimensional (2D) materials such as 2D transition metal dichalcogenides (TMDs) are particularly well suited for this purpose because…

Optics · Physics 2020-02-11 Ahmed Raza Khan , Teng Lu , Wendi Ma , Yuerui Lu , Yun Liu

Two-dimensional (2D) molybdenum disulfide (MoS2) has attracted significant attention because of its outstanding properties, suitable for application in several critical technologies like, solar cells, photocatalysis, lithium-ion batteries,…

Computational Physics · Physics 2018-06-13 Mostafa Hasanian , Bohayra Mortazavi , Alireza Ostadhossein , Timon Rabczuk , Adri C. T. van Duin

Thermoelectric materials offer a promising pathway to directly convert waste heat to electricity. However, achieving high performance remains challenging due to intrinsic trade-offs between electrical conductivity, the Seebeck coefficient,…

Adsorbate engineering is a promising route for controlling the electronic properties of monolayer transition-metal dichalcogenide materials. Here, we study shallow bound states induced by charged adatoms on MoS$_2$ using large-scale…

Mesoscale and Nanoscale Physics · Physics 2018-05-08 Martik Aghajanian , Arash A. Mostofi , Johannes Lischner

Among two-dimensional (2D) transition metal dichalcogenides (TMDs), platinum diselenide (PtSe2) stands at a unique place in the sense that it undergoes a phase transition from type-II Dirac semimetal to indirect-gap semiconductor as…

Mesoscale and Nanoscale Physics · Physics 2019-03-26 Husong Zheng , Yichul Choi , Fazel Baniasadi , Dake Hu , Liying Jiao , Kyungwha Park , Chenggang Tao

Layered molecular materials and especially MoS2 are already accepted as promising candidates for nanoelectronics. In contrast to the bulk material, the observed electron mobility in single-layer MoS2 is unexpectedly low. Here we reveal the…

Materials Science · Physics 2013-05-30 Andrey N. Enyashin , Maya Bar-Sadan , Lothar Houben , Gotthard Seifert

Two-dimensional (2D) semiconducting transition metal dichalcogenides such as MoS$_2$ have attracted extensive research interests for potential applications in optoelectronics, spintronics, photovoltaics, and catalysis. To harness the…

Materials Science · Physics 2020-07-01 Anne Marie Z. Tan , Christoph Freysoldt , Richard G. Hennig

Interacting defect systems are ubiquitous in materials under realistic scenarios, yet gaining an atomic-level understanding of these systems from a computational perspective is challenging - it often demands substantial resources due to the…

Materials Science · Physics 2024-03-21 Hao Yu

The unique electrical and optical properties of emerging two-dimensional transition metal dichal-cogenides (TMDs) present compelling advantages over conventional semiconductors, including Si, Ge, and GaAs. Nevertheless, realising the full…

Materials Science · Physics 2025-07-23 Yusuf Kerem Bostan , Elanur Hut , Cem Sanga , Nadire Nayir , Ayse Erol , Yue Wang , Fahrettin Sarcan

Layered transition metal dichalcogenides (TMDs) offer many attractive features for next-generation low-dimensional device geometries. Due to the practical and fabrication challenges related to in situ methods, the atomistic dynamics that…

Structural defects in the molybdenum disulfide (MoS2) monolayer are widely known for strongly altering its properties. Therefore, a deep understanding of these structural defects and how they affect MoS2 electronic properties is of…

Within the framework of many-body perturbation theory (MBPT) integrated with density functional theory (DFT), a novel defect-subspace projection GW method, the so-called p-GW, is proposed. By avoiding the periodic defect interference…

Materials Science · Physics 2022-11-23 Guido Gandus , Youseung Lee , Leonard Deuschle , Mathieu Luisier , Daniele Passerone

Optical and electrical properties of two-dimensional transition metal dichalcogenides (TMDCs) grown by chemical vapor deposition (CVD) are strongly determined by their microstructure. Consequently, the visualization of spatial structural…

Two-dimensional (2D) materials are strongly affected by the dielectric environment including substrates, making it an important factor in designing materials for quantum and electronic technologies. Yet, first-principles evaluation of…

Materials Science · Physics 2019-08-29 Dan Wang , Ravishankar Sundararaman

The unique optical and electronic properties of two-dimensional transition metal dichalcogenides (2D TMDs) make them promising materials for applications in (opto-)electronics, catalysis and more. Specifically, alloys of 2D TMDs have broad…

We present a comprehensive first-principles investigation of defects in 4$H_b$-TaS$_2$. In this layered transition metal dichalcogenide, charge transfer between alternating Mott-insulating 1T and metallic 1H layers gives rise to exotic…

Materials Science · Physics 2026-03-26 Siavash Karbasizadeh , Wooin Yang , Wonhee Ko , Haidong Zhou , An-Ping Li , Tom Berlijn , Sai Mu

Two-dimensional (2D) binary transition-metal chalcogenides (TMCs) like molybdenum disulfide exhibits excellent properties as materials for light adsorption devices. Alloying binary TMCs can form 2D compositionally complex TMC alloys…

Materials Science · Physics 2020-10-14 Duo Wang , Lei Liu , Neha Basu , Houlong L. Zhuang

Two-dimensional (2D) transition metal dichalcogenides (TMDCs) remain a topic of immense interest. Specifically, given their low operational switching costs, they find many niche applications in new computing architectures with the promise…

While new species and properties of two-dimensional (2D) materials are being reported with extraordinary regularity, a significant bottleneck in the field is the ability to controllably process material into working devices. We report a…

Machine-learning methods are nowadays of common use in the field of material science. For example, they can aid in optimizing the physicochemical properties of new materials, or help in the characterization of highly complex chemical…

Disordered Systems and Neural Networks · Physics 2022-11-29 Maciej J. Karcz , Luca Messina , Eiji Kawasaki , Serenah Rajaonson , Didier Bathellier , Emeric Bourasseau