Results 81 to 90 of about 127,298 (253)
Moiré band engineering in graphene/hexagonal boron nitride–based superlattices unlocks van Hove singularities (VHSs) for terahertz (THz) optoelectronics. Tuning the Fermi level near these singularities, associated with secondary neutrality points (SNPs), enhances the photothermoelectric response.
Leonid Elesin +16 more
wiley +1 more source
An Efficient Data Retrieval Parallel Reeb Graph Algorithm
The Reeb graph of a scalar function that is defined on a domain gives a topologically meaningful summary of that domain. Reeb graphs have been shown in the past decade to be of great importance in geometric processing, image processing, computer graphics,
Mustafa Hajij, Paul Rosen
doaj +1 more source
Schematic illustration of ferroelectric‐intercalation‐driven transitions in magnetic configurations and magnonic topological phases, together with the symmetry relations of magnonic Berry curvature. ABSTRACT Magnons in collinear magnets with vanishing net magnetization offer unique advantages for spin transport, including ultrafast dynamics and ...
Yingxi Bai +8 more
wiley +1 more source
Omnipolar Magnetic Field Detection by Superlattice‐Based Hall Sensor
Magnetic‐field‐induced electronic switching is demonstrated in unit‐cell‐engineered La0.7Sr0.3MnO3–BiFeO3 superlattices. Distinct substrate terminations modify magnetic and transport properties. Hall resistance measurements show omnipolar, hysteretic anomalous Hall switching above the Curie temperature, arising from Fe─Mn interfacial exchange, enabling
Mark Huijben +6 more
wiley +1 more source
Trajectory Classification Through Topological Data Analysis Perspectives
This paper examines the application of Topological Data Analysis (TDA) for trajectory classification, aiming to improve the interpretation of complex spatial movement patterns.
Miriam Esteve, Antonio Falco
doaj +1 more source
This paper presents a digital microfluidics‐based technique for transferring and reconfiguring soft nanomembranes. Laser‐machined nanothin membranes are picked up, transported, and aligned via tailored surface tension and the actuation of water droplets, enabling the development of flexible electronics, the integration of functional materials on 3D ...
Quang Anh Nguyen +15 more
wiley +1 more source
Extracting Knowledge from the Geometric Shape of Social Network Data Using Topological Data Analysis
Topological data analysis is a noble approach to extract meaningful information from high-dimensional data and is robust to noise. It is based on topology, which aims to study the geometric shape of data.
Khaled Almgren, Minkyu Kim, Jeongkyu Lee
doaj +1 more source
Orbital Geometry‐Governed Response of Pressure‐Tunable Quantum Defects in hBN
Defects in hBN act as ultrasensitive quantum manometers when the energy of the intradefect optical transitions is modified by lattice compression. The orbital geometry of the electron wave functions governs how electron hopping and Coulomb interactions react uniquely to the reduction of the van der Waals gap and in‐plane compression, leading to robust ...
Magdalena Grzeszczyk +6 more
wiley +1 more source
A roadmap for the computation of persistent homology
Persistent homology (PH) is a method used in topological data analysis (TDA) to study qualitative features of data that persist across multiple scales. It is robust to perturbations of input data, independent of dimensions and coordinates, and provides a
Nina Otter +4 more
doaj +1 more source

