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Topological magnons have garnered significant interest for their potential in both fundamental research and device applications, owing to their exotic, uncharged, yet topologically protected boundary modes. However, their comprehension has…

Materials Science · Physics 2025-08-15 Xiaobing Chen , Yuntian Liu , Pengfei Liu , Yutong Yu , Jun Ren , Jiayu Li , Ao Zhang , Qihang Liu

We propose a kind of novel topological quantum state of semimetals in a quasi-one-dimensional (1D) crystals BaMX$_3$ (M = V, Nb or Ta; X = S or Se) family by using symmetry analysis and first principles calculation. We find that in BaVS$_3$…

Mesoscale and Nanoscale Physics · Physics 2016-02-24 Qi-Feng Liang , Jian Zhou , Rui Yu , Zhi Wang , Hongming Weng

Topological semimetals with symmetry-protected band crossings have emerged as a rich landscape to explore intriguing electronic phenomena. Nonsymmorphic symmetries in particular have been shown to play an important role in protecting the…

GeSn on Si has attracted much research interest due to its tunable direct bandgap for mid-infrared applications. Recently, short-range order (SRO) in GeSn alloys has been theoretically predicted, which profoundly impacts the band structure.…

Nodal-line semimetals are a class of topological materials hosting one dimensional lines of band degeneracy. Kramers nodal-line (KNL) metals/semimetals have recently been theoretically recognized as a class of topological states inherent to…

Geometric and electronic properties of folded graphene nanoribbons (FGNRs) are investigated by first-principles calculations. These properties are mainly dominated by the competition or cooperation among stacking, curvature and edge…

Computational Physics · Physics 2015-09-15 Shen-Lin Chang , Bi-Ru Wu , Po-Hua Yang , Ming-Fa Lin

Graphene nanoribbons (GNRs) are unique quasi-one-dimensional (1D) materials that have garnered a lot of research interest in the field of topological insulators. While the topological phases exhibited by GNRs are primarily governed by their…

Mesoscale and Nanoscale Physics · Physics 2024-06-21 Haiyue Huang , Mamun Sarker , Percy Zahl , C. Stephen Hellberg , Jeremy Levy , Ioannis Petrides , Alexander Sinitskii , Prineha Narang

Alignable nets are grid structures that can collapse to a planar strip, which is in fact the real-world counterpart of a curve. This property simplifies on-site assembly and enables compact transport and storage. These grid structures can…

Differential Geometry · Mathematics 2026-03-19 Arvin Rasoulzadeh

In this Letter, we put forward a resolution to the prolonged ambiguity in energy band gaps between theory and experiments of fabricated graphene nanoribbons (GNRs). Band structure calculations using density functional theory are performed…

Mesoscale and Nanoscale Physics · Physics 2016-10-11 Deepika , T. J. Dhilip Kumar , Alok Shukla , Rakesh Kumar

Correlated quantum phenomena in one-dimensional (1D) systems that exhibit competing electronic and magnetic order are of strong interest for studying fundamental interactions and excitations, such as Tomonaga-Luttinger liquids and…

We construct the first known example of a near horizon supergravity solution for a pair of NS5-branes, intersecting on R^{1,3} and localised in all directions except a single transverse circle. We do this by establishing an explicit map…

High Energy Physics - Theory · Physics 2011-05-25 Jock McOrist , Andrew B. Royston

A crystal symmetry search is crucial for computational crystallography and materials science. Although algorithms and implementations for the crystal symmetry search have been developed, their extension to magnetic space groups (MSGs)…

Materials Science · Physics 2023-06-08 Kohei Shinohara , Atsushi Togo , Isao Tanaka

We elaborate that single-layer graphene with periodic vacancies can have a band structure containing nodal lines or nodal loops, opening the possibility of graphene-based electronic or spintronic devices with novel functionalities. The…

Mesoscale and Nanoscale Physics · Physics 2022-05-30 Matheus S. M. de Sousa , Fujun Liu , Mariana Malard , Fanyao Qu , Wei Chen

Gapless quasiparticles can exist in the Bogoliubov-de Gennes (BdG) Hamiltonians in the mean field description of superconductors (SCs), fermionic superfluids (SFs) and quantum spin liquids (QSLs). The mechanism of gapless quasiparticles in…

Strongly Correlated Electrons · Physics 2024-08-12 Arist Zhenyuan Yang , Zheng-Xin Liu

Nazarov and Tarasov recently generalized the notion of the rank of a partition to skew partitions. We give several characterizations of the rank of a skew partition and one possible characterization that remains open. One of the…

Combinatorics · Mathematics 2007-05-23 Richard P. Stanley

We comprehensively investigate gap solitons and Bloch waves in one-dimensional nonlinear periodic systems. Our results show that there exists a composition relation between them: Bloch waves at either the center or edge of the Brillouin…

Quantum Gases · Physics 2015-05-13 Yongping Zhang , Zhaoxin Liang , Biao Wu

Mass-spring networks (MSNs) have long been used as approximate descriptions of many biological and engineered systems, from actomyosin networks to mechanical trusses. In the last decade, MSNs have re-attracted theoretical interest as models…

Mesoscale and Nanoscale Physics · Physics 2020-03-31 Henrik Ronellenfitsch , Jörn Dunkel

Some modified (defocusing) non-linear Schr\"odinger models (MNLS) possess infinite towers of anomalous conservation laws with asymptotically conserved charges. The so-called anomalies of the quasi-conservation laws vanish upon space-time…

High Energy Physics - Theory · Physics 2021-02-16 H. Blas , M. Cerna Maguiña , L. F. dos Santos

We show that rhombohedral four-layer graphene (4LG) nearly aligned with a hexagonal boron nitride (hBN) substrate often develops nearly flat isolated low energy bands with non-zero valley Chern numbers. The bandwidths of the isolated…

Mesoscale and Nanoscale Physics · Physics 2023-11-28 Youngju Park , Yeonju Kim , Bheema Lingam Chittari , Jeil Jung

Context. Convolutional neural networks (CNNs) are widely used for automated galaxy morphological classification in large surveys. However, projection effects, image artefacts, and intrinsic degeneracies limit reliable identification of…

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