Results 91 to 100 of about 8,039 (217)
Measuring the Hall Effect in Hysteretic Materials
The authors highlight common pitfalls in measuring the Hall effect: in hysteretic magnets, improper data processing can create signals that look exotic but are not real. This Perspective explains the origin of these artifacts and presents practical measurement strategies that help researchers identify reliable Hall responses in complex magnetic ...
Jaime M. Moya +6 more
wiley +1 more source
Resonant Domain Wall Dynamics in a Three‐Dimensional Magnetic Nano Double Helix
3D magnetic nanostructures promise exciting possibilities for magnetization dynamics. However, experimental realizations remain scarce. In nanoprinted cobalt double helices, time‐resolved X‐ray microscopy reveals harmonic domain wall dynamics. Simulations identify the mode and additional higher‐frequency resonances, revealing a rich dynamic landscape ...
Pamela Morales‐Fernández +15 more
wiley +1 more source
Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
This is an Accepted Manuscript of an article published by Taylor & Francis in African Journal of Research in Mathematics, Science and Technology Education on 20 August 2013, available online: http://www.tandfonline.com/10.1080/10288457.2010.10740681 ...
Armien, Mogamat Noor, Le Roux, Kate
core
A targeted modulation of the MoS2 electronic structure is achieved via substitutional n‐type Co/Fe co‐doping. This strategy triggers S‐mediated d‐p hybridization, optimizing the binding affinity with polysulfides to establish a volcano‐shaped relationship between the d‐band center and catalytic activity.
Junhyuk Ji +6 more
wiley +1 more source
DEPTH-BASED CLASSIFICATION FOR FUNCTIONAL DATA [PDF]
Classification is an important task when data are curves. Recently, the notion of statistical depth has been extended to deal with functional observations.
Juan Romo, Sara Lopez-Pintado
core
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
The Invariant Symplectic Action and Decay for Vortices
The (local) invariant symplectic action functional $A$ is associated to a Hamiltonian action of a compact connected Lie group $G$ on a symplectic manifold $(M,\omega)$, endowed with a $G$-invariant Riemannian metric $\langle\cdot,\cdot\rangle_M$.
Ziltener, Fabian +2 more
core
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong +11 more
wiley +1 more source
A double‐sided mechanical interlocking strategy is developed to create robust electrical contact between polymer electrode and metal interconnect. The fibrous structure enables formation of thread–hole adhesion, which only breaks under bulk failure and achieves a record high interfacial energy exceeding 730 J·m−2. This adhesion secures the integrity of
Gang Li +6 more
wiley +1 more source

