A5061742040- Machine Learning in Materials Science
- 2D Materials and Applications
- Graphene research and applications
- Electronic and Structural Properties of Oxides
- Topological Materials and Phenomena
- Quantum and electron transport phenomena
- Water Quality Monitoring Technologies
- Marine animal studies overview
- Metallic Glasses and Amorphous Alloys
- Underwater Acoustics Research
- Physics of Superconductivity and Magnetism
- Advanced Data Storage Technologies
- MXene and MAX Phase Materials
- Quasicrystal Structures and Properties
- X-ray Diffraction in Crystallography
- Phase-change materials and chalcogenides
- Semiconductor Quantum Structures and Devices
- Ferroelectric and Negative Capacitance Devices
- Fluid Dynamics and Turbulent Flows
- Mineralogy and Gemology Studies
- Advanced Condensed Matter Physics
- Silicon and Solar Cell Technologies
- Particle Dynamics in Fluid Flows
- Cold Atom Physics and Bose-Einstein Condensates
- Solidification and crystal growth phenomena
Technical University of Denmark
1994-2024
University of Copenhagen
2016-2017
Quantum information protected by the topology of storage medium is expected to exhibit long coherence times. Another feature are topologically gates generated through braiding Majorana bound states. However, requires structures with branched topological segments which have inherent difficulties in semiconductor-superconductor heterostructures now believed host In this paper, we construct quantum bits taking advantage protection and non-local properties states a network parallel wires, but...
Stacking of two-dimensional (2D) materials has emerged as a facile strategy for realising exotic quantum states matter and engineering electronic properties. Yet, developments beyond the proof-of-principle level are impeded by vast size configuration space defined layer combinations stacking orders. Here we employ density functional theory (DFT) workflow to calculate interlayer binding energies 8451 homobilayers created 1052 different monolayers in various configurations. Analysis orders 247...
The Atomic Simulation Recipes (ASR) is an open source Python framework for working with atomistic materials simulations in efficient and sustainable way that ideally suited high-throughput projects. Central to ASR the concept of a Recipe: high-level script performs well defined simulation task robustly accurately while keeping track data provenance. leverages functionality Environment (ASE) interface external codes attain high abstraction level. We provide library common tasks employing...
We analyze a data set comprising 370 GW band structures composed of 61716 quasiparticle (QP) energies two-dimensional (2D) materials spanning 14 crystal and 52 elements. The results from PAW plane wave based one-shot G$_0$W$_0$@PBE calculations with full frequency integration. investigate the distribution key quantities like QP self-energy corrections renormalization factor $Z$ explore their dependence on chemical composition magnetic state. linear approximation is identified as significant...
We present an analysis of the symmetries interference pattern critical currents through a two-dimensional superconductor-semiconductor-superconductor junction, taking into account Rashba and Dresselhaus spin-orbit interaction, arbitrarily oriented magnetic field, disorder, structural asymmetries. relate to absence or presence in Hamiltonian, which provides qualitative connection between easily measurable quantities coupling other junction. support our with numerical calculations Josephson...
Abstract The Computational 2D Materials Database (C2DB) is a highly curated open database organising wealth of computed properties for more than 4000 atomically thin two-dimensional (2D) materials. Here we report on new materials and that were added to the since its first release in 2018. set comprise several hundred monolayers exfoliated from experimentally known layered bulk materials, (homo)bilayers various stacking configurations, native point defects semiconducting monolayers,...
The capability of an echolocating dolphin to discriminate differences in the wall thickness cylinders was previously modeled by a counterpropagation neural network using only spectral information from echoes. In this study, both time and frequency were used model discrimination capabilities. Echoes same digitized broadband simulated sonar signal with transducer mounted on dolphin’s pen. echoes filtered bank continuous constant-Q digital filters energy each filter computed increments...
The amorphous-to-quasicrystalline phase transformation in a Zr65Al7.5Ni10Cu7.5Ag10 metallic glass has been investigated by monitoring the quasilattice constant and composition of quasicrystalline particles samples annealed vacuum at 663 K for various times. It is found that decreases with annealing time saturates after 90 min while zirconium silver contents differ from those remaining amorphous matrix. results provide evidence nonpolymorphous reaction.
One-dimensional systems with topological order are intimately related to the appearance of zero-energy modes localized on their boundaries. The most common example is Kitaev chain, which displays Majorana and it characterized by a two-fold ground state degeneracy global $\mathbb{Z}_2$ symmetry associated fermionic parity. By extending $\mathbb{Z}_N$ group, possible engineer hosting parafermionic modes. In this work, we address one-dimensional generic discrete group $G$. We define ladder...
Quasicrystals with a primitive icosahedral structure and quasilattice constant of 5.1215 Å have been synthesized in binary Cd–Ca system. The thermal stability the quasicrystal has investigated by situ high-temperature x-ray powder diffraction using synchrotron radiation. It is demonstrated that CdCa thermodynamic stable up to its melting temperature. linear expansion coefficient 2.765×10−5 K−1.
We analyze the occurrence of in-plane anisotropy in electronic, magnetic, elastic, and transport properties more than 1000 2D materials from C2DB database. identify hundreds anisotropic classify them according to their point group symmetry degree anisotropy. A statistical analysis reveals that a lower larger amount different elements structure favor all types anisotropies, which could be relevant for future material design approaches. Besides, we novel compounds, predicted easily exfoliable...
Stacking of two-dimensional (2D) materials has emerged as a facile strategy for realising exotic quantum states matter and engineering electronic properties. Yet, developments beyond the proof-of-principle level are impeded by vast size configuration space defined layer combinations stacking orders. Here we employ density functional theory (DFT) workflow to calculate interlayer binding energies 8451 homobilayers created 1052 different monolayers in various configurations. Analysis orders 247...
The capability of an echo-locating dolphin to discriminate differences in the wall thickness cylinders was previously modeled by a counterpropagation neural network using only spectral information echoes [W. W. L. Au, J. Acoust. Soc. Am. 95, 2728–2735 (1994)]. In this study, both time and frequency were used model discrimination capabilities. Echoes from same digitized broadband simulated sonar signal with transducer mounted on dolphin’s pen. filtered bank continuous constant-Q digital...
The Atomic Simulation Recipes (ASR) is an open source Python framework for working with atomistic materials simulations in efficient and sustainable way that ideally suited high-throughput projects. Central to ASR the concept of a Recipe: high-level script performs well defined simulation task robustly accurately while keeping track data provenance. leverages functionality Environment (ASE) interface external codes attain high abstraction level. We provide library common tasks employing...