Results 121 to 130 of about 12,845,141 (320)
Advanced Science, EarlyView.Temperature‐driven solvation conformational shift reduces the desolvation barrier and enhances sodium‐ion mobility. ABSTRACT The desolvation kinetics of Na+ at the electrode‐electrolyte interface critically limit the wide‐temperature performance of sodium‐ion batteries (SIBs).
Long Huang +3 more
wiley +1 more source
Advanced Electronic Materials, EarlyView.ABSTRACT Magnetic 2‐dimensional (2D) van der Waals (vdW) materials have garnered tremendous attention. The vdW ferromagnet Fe5Ge1Te2 has a Curie temperature Tc of ≈ 270 K, which is tailorable by tuning the stoichiometry and the Fe deficiency to reach room temperature.
Chih‐Yu Lee +7 more
wiley +1 more source
Advanced Electronic Materials, EarlyView.A compact passive engineered surface converts changes in microwave frequency into many distinct illumination patterns, allowing nearby objects to be imaged without mechanical scanning, active tuning, or a large antenna array. Operating from 18 to 28 GHz, the single‐port system uses measured field patterns to reconstruct metallic targets and distinguish
Mohammed H. Arif +6 more
wiley +1 more source
Exploring Euclidean and Non-Euclidean Geometry
, 2018 The Elements, compiled by Euclid, covers Greek plane and solid geometry and number theory using the axiomatic method. His work provided a foundation for many notable mathematicians of the time to delve deeper into the axiomatic approach in geometry.
Galvinhill, Caroline
core +1 more source
Physical Unclonable Functions From Microwave Metasurface Fingerprints
Advanced Electronic Materials, EarlyView.Nominally identical metasurfaces fabricated through standard PCB processes inevitably contain microscopic fabrication imperfections. This work demonstrates that these unavoidable electromagnetic deviations can serve as unique physical unclonable fingerprints for wireless authentication.
Guanxiong Shen +4 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
Multi-stage refinement network for point cloud completion based on geodesic attention
Scientific ReportsThe attention mechanism has significantly progressed in various point cloud tasks. Benefiting from its significant competence in capturing long-range dependencies, research in point cloud completion has achieved promising results.
Yuchen Chang, Kaiping Wang
doaj +1 more source
Lambert’s non-Euclidean geometry [PDF]
Bulletin of the American Mathematical Society, 1893 openaire +2 more sources
Integrating Hamiltonian systems defined on the Lie groups SO(4) and SO(1,3) [PDF]
, 2007 This paper examines optimal solutions of control systems with drift defined on the orthonormal frame bundle of particular Riemannian manifolds of constant curvature. The manifolds considered here are the space forms Euclidean space E³, the spheres S³ and
Biggs, James +4 more
core
Advanced Intelligent Discovery, EarlyView.AI‐based tools enable rapid characterization of bacterial ultrastructure in low‐dose cryogenic transmission electron microscopy. The envelope thickness tool quantifies membrane thickness and anisotropy. The flagella module analyzes filament morphology and detects cell‐flagella contacts.
Sita Sirisha Madugula +10 more
wiley +1 more source