Results 101 to 110 of about 4,922,109 (351)
Introducing the EPP house (topological space) method to solve MRP problems. [PDF]
Gyenge B, Kasza L, Vasa L.
europepmc +1 more source
2D Multifunctional Spin‐Orbit Coupled Dirac Nodal Line Materials
A total of 473 nonmagnetic and antiferromagnetic 2D spin‐orbit coupled Dirac nodal line materials are screened, spanning 5 layer groups and 12 magnetic space groups. Furthermore, it integrates their topological properties with electride, multiferroic, and magnetic characteristics, revealing unique systems with expanded functionalities and promising ...
Weizhen Meng+7 more
wiley +1 more source
Electric control of magnetic tunnel junctions offers a path to drastically reduce the energy requirements of the device. Electric field control of magnetization can be realized in a multitude of ways. These mechanisms can be integrated into existing spintronic devices to further reduce the operational energy.
Will Echtenkamp+7 more
wiley +1 more source
Reconfigurable Three‐Dimensional Superconducting Nanoarchitectures
3D superconducting nanostructures offer new possibilities for emergent physical phenomena. However, fabricating complex geometries remains challenging. Here 3D nanoprinting of complex 3D superconducting nanoarchitectures is established. As well as propagating superconducting vortices in 3D, anisotropic superconducting properties with geometric ...
Elina Zhakina+11 more
wiley +1 more source
Topology of Spaces of S-Immersions [PDF]
25 pages, 10 ...
N. M. Mishachev, Yakov Eliashberg
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Conformally Perforated Shellular Metamaterials with Tunable Thermomechanical and Acoustic Properties
This study introduces Conformally Perforated Shellular Metamaterials (CPSMs), which overcome TPMS design limitations by mapping 2D cellular layouts onto 3D surfaces. CPSMs exhibit enhanced elastic stiffness, thermal conductivity, and acoustic performance compared to intact P‐type shellulars, demonstrating their potential as multifunctional ...
Benyamin Shahryari+8 more
wiley +1 more source
Machine Learning Guided Design of Nerve‐On‐A‐Chip Platforms with Promoted Neurite Outgrowth
Compared to labor‐intensive trial‐and‐error experimentation, a machine learning (ML)‐guided workflow, incorporating cell viability assays, data augmentation, ensemble modeling, and model interpretation, is developed to accelerate nerve‐on‐a‐chip optimization and uncover data‐driven design principles.
Tsai‐Chun Chung+8 more
wiley +1 more source
This paper uses various ideas from the literature: fuzzy points, quasi- coincidence, Lowen's initial topology, and product-induced topologies, which are spaces of lower semi-continuous functions constructed by a variation of the hypergraph functor. These tools form the basis for a transference technique, which allows the author to produce a system of ...
openaire +3 more sources
We characterize the existence of a real continuous order-preserving function on a topological preordered space, under the hypotheses that the topological space is normal and the preorder satisfies a strong continuity assumption, called IC-continuity ...
Gianni Bosi, R. Isler
doaj +1 more source