Results 111 to 120 of about 55,932 (263)

Room-temperature creation and conversion of individual skyrmion bags in magnetic multilayered disks

open access: yesNature Communications
Skyrmion bags, with arbitrary topological charge Q, have recently attracted much interest, since such high-Q topological systems could open a way for topological magnetism research and are promising for spintronic applications with high flexibility for ...
Quan Liu   +18 more
doaj   +1 more source

Topology‐Orchestrated Multi‐physical Energy Control in Turtle Shell‐Inspired Metamaterials

open access: yesAdvanced Materials, EarlyView.
A turtle shell‐inspired lattice metamaterial efficiently manages acoustic, fluid‐thermal, and mechanical energy flows simultaneously. The unique hybrid‐coupling architecture achieves superior sound attenuation via pore‐cavity resonance, facilitates effective airflow transport, and maximizes mechanical energy absorption through multistage cell ...
Xi Wang   +3 more
wiley   +1 more source

Design topological materials by reinforcement fine-tuned generative model

open access: yesNature Communications
Topological insulators and topological crystalline insulators are characterized by robust surface states and insulating bulk behavior, rendering them highly valuable for quantum computing, spintronics, and other emerging technologies.
Haosheng Xu   +4 more
doaj   +1 more source

Bioinspired Adaptive Surfaces for Intelligent Liquid Manipulation: Progressing From Passive and Active to Hybrid Strategies

open access: yesAdvanced Materials, EarlyView.
This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao   +3 more
wiley   +1 more source

Gromov - Hausdorff Convergence and Topological Stability for Actions on Wasserstein Hyperspaces

open access: yesJournal of Applied Sciences and Environmental Management
In this paper, we make use of topological stability from Gromov – Hausdorff view point to establish the Gromov – Hausdorff convergence and stability of induced actions on Wasserstein hyperspaces between maps.
M. A. Morawo   +3 more
doaj  

Soft Skins With Reversible Thickness Morphing: Materials, Mechanisms, and Applications

open access: yesAdvanced Materials, EarlyView.
Evolution of electronic skin (e‐skin) technologies toward adaptive, multifunctional soft skins. Phase I highlights early rigid and discrete sensory interfaces. Phase II shows the transition toward flexible, stretchable, and large‐area e‐skin. Phase III captures the emergence of computational e‐skin.
Oliver Ozioko   +2 more
wiley   +1 more source

Topological phase transition and surface states in a non-Abelian charged nodal line photonic crystal

open access: yesNanophotonics
Topological charges of nodal lines in a multigap system are represented by non-Abelian numbers, and the Euler class, a topological invariant, can be used to explain their topological phase transitions, such as pair-annihilation of nodal lines.
Park Haedong   +3 more
doaj   +1 more source

Liquid Crystal Elastomer‐Based Haptic Pixel Arrays at Your Fingertips for Advanced Human–Machine Interfaces

open access: yesAdvanced Materials, EarlyView.
We mechanically program liquid crystal elastomer coatings as a stimuli‐responsive and digitally addressable platform for refreshable tactile displays; we validate the perceptual performance of our dynamic device matches conventional static tactile media.
Tom Bruining   +9 more
wiley   +1 more source

Directional Latent Hybridization: Beyond Random Noise in Physics‐Informed Generative Inverse Design of Nonlinear Metamaterials

open access: yesAdvanced Materials Technologies, EarlyView.
A physics‐informed generative framework introduces Directional Latent Hybridization (DLH) for the deterministic inverse design of nonlinear metamaterials. By hybridizing dominant traits from parent geometries in the latent space, DLH overcomes the instabilities of stochastic models to ensure high structural precision at high densities.
Semin Ahn   +2 more
wiley   +1 more source

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