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The Nernst effect, a transverse thermoelectric phenomenon, has attracted significant attention for its potential in energy conversion, thermoelectrics, and spintronics. However, achieving high performance and versatility at low temperatures…

Mesoscale and Nanoscale Physics · Physics 2024-06-25 Gabriele Pasquale , Zhe Sun , Kenji Watanabe , Takashi Taniguchi , Andras Kis

In this paper, we propose a combined modeling of molecular mechanics (MM) and the tight-binding (TB) approach, which enables us to study the effect of factors such as external local forces, constraints, and vacancy defects on electronic…

Computational Physics · Physics 2021-03-11 Mahnoosh Rostami , Isa Ahmadi , Farhad Khoeini

Nanostructures exhibit unusual properties due to the dominance of quantum mechanical effects. In addition, the geometry of a nanostructure can have a strong influence on its physical properties. Using the tight-binding (TB) and…

Materials Science · Physics 2024-02-13 M. Amir Bazrafshan , Farhad Khoeini

Graphene nanoribbons (GNRs) make up an extremely interesting class of materials. On the one hand GNRs share many of the superlative properties of graphene, while on the other hand they display an exceptional degree of tunability of their…

Materials Science · Physics 2018-03-22 Martina Corso , Eduard Carbonell-Sanromà , Dimas G. de Oteyza

Very recently, it was demonstrated explicitly that a zigzag graphene nanoribbon (GNR) exhibits a crossover of conductance from G0 to G0/2 with increasing the length (G0 = 2e2/h is the quantum of conductance) even at room-temperature…

Mesoscale and Nanoscale Physics · Physics 2015-10-22 Zhao-Dong Chu , Lin He

On-surface synthesis enables the fabrication of atomically precise graphene nanoribbons (GNRs) with properties defined by their shape and edge topology. While this bottom-up approach provides unmatched control over electronic and structural…

We study the magnetic properties of graphene edges and graphene/graphane interfaces under the influence of electrostatic gates. For this, an effective low-energy theory for the edge states, which is derived from the Hubbard model of the…

Mesoscale and Nanoscale Physics · Physics 2011-08-23 Manuel J. Schmidt , Daniel Loss

Heat flow in nanomaterials is an important area of study, with both fundamental and technological implications. However, little is known about heat flow in two-dimensional (2D) devices or interconnects with dimensions comparable to the…

Mesoscale and Nanoscale Physics · Physics 2013-04-18 Myung-Ho Bae , Zuanyi Li , Zlatan Aksamija , Pierre N. Martin , Feng Xiong , Zhun-Yong Ong , Irena Knezevic , Eric Pop

We propose excess Gibbs free energy graph neural networks (GE-GNNs) for predicting composition-dependent activity coefficients of binary mixtures. The GE-GNN architecture ensures thermodynamic consistency by predicting the molar excess…

Disordered Systems and Neural Networks · Physics 2024-11-05 Jan G. Rittig , Alexander Mitsos

One well-known argument about one dimensional(1D) system is that 1D phase transition at finite temperature cannot exist, despite this concept depends on conditions such as range of interaction, external fields and periodicity. Therefore 1D…

Materials Science · Physics 2016-04-20 Qingming Deng , Jiong Zhao

Atomically precise graphene nanoribbons (GNRs) have emerged as promising candidates for nanoelectronic applications due to their widely tunable energy band gaps resulting from lateral quantum confinement and edge effects. Here we report on…

Materials and devices used in space and advanced energy systems are continuously exposed to high-energy photons and particles, leading to gradual changes in their structural and electronic properties. Gamma-ray exposure is particularly…

We use non-perturbative renormalization group techniques to calculate the momentum dependence of thermal fluctuations of graphene, based on a self-consistent calculation of the momentum dependent elastic constants of a tethered membrane. We…

Soft Condensed Matter · Physics 2010-07-13 F. L. Braghin , N. Hasselmann

Graphene is the first truly two-dimensional (2D) material, possessing a cone-like energy spectrum near the Fermi energy and treated as a gapless semiconductor. Its unique properties trigger researchers to find more applications of it, such…

Mesoscale and Nanoscale Physics · Physics 2022-06-23 Wei-Bang Li , Yu-Ming Wang , Hsien-Ching Chung , Ming-Fa Lin

Two-dimensional (2D) crystals, such as graphene, hexagonal boron nitride and transitional metal dichalcogenides, have attracted tremendous amount of attention over the past decade due to their extraordinary thermal, electrical and optical…

Materials Science · Physics 2017-02-16 Y. Zhao , Z. Wan , U. Hetmaniuk , M. P. Anantram

Thermal management is an important challenge in modern electronics, avionics, automotive, and energy storage systems. While passive thermal solutions (like heat sinks or heat spreaders) are often used, actively modulating heat flow (e.g.…

The electronic and optical properties of graphene nanoribbons under uniaxial periodic strain have been explored using various nearest-neighbor hopping patterns. It is found that by properly selecting hopping patterns, momentum-resolved gaps…

Mesoscale and Nanoscale Physics · Physics 2024-11-05 Chunwen Zhang , W. X. Yan

Many elastic structures have two possible equilibrium states: from umbrellas that become inverted in a sudden gust of wind, to nano-electromechanical switches, origami patterns and the hopper popper, which jumps after being turned…

Soft Condensed Matter · Physics 2017-10-31 Michael Gomez , Derek E. Moulton , Dominic Vella

We examine the possibility of using graphene nanoribbons (GNRs) with directly substituted chromium atoms as spintronic device. Using density functional theory, we simulate a voltage bias across a constructed GNR in a device setup, where a…

We investigate the carrier transport characteristics of perforated graphene layer (PGL) composed of arrays of interdigital coplanar graphene microribbons (GMRs) connected by graphene nanoribbon (GNR) bridges. We analyze their operation at…

Mesoscale and Nanoscale Physics · Physics 2025-03-19 V. Ryzhii , C. Tang , M. Ryzhii , M. S. Shur