Results 171 to 180 of about 3,114,682 (304)
Universal Conductance Fluctuations in Quantum Anomalous Hall Insulators
Universal conductance fluctuations are observed in mesoscopic quantum anomalous Hall insulators. Two distinct fluctuation patterns are identified, arising from different interference processes of bulk and chiral edge states, respectively. These findings unveil rich quantum interference phenomena in quantum anomalous Hall insulators and provide insights
Peng Deng +11 more
wiley +1 more source
Twist-Controlled Second-Order Spatial Differentiation in a Three-Sheet Black Arsenic Stack. [PDF]
Xu W, Zhang S, Xu L.
europepmc +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Quivers and admissible relations of tensor products and trivial extensions
We show how to find quotients of path algebras isomorphic to tensor products, triangular matrix algebras and trivial ...
Skartsæterhagen, Øystein Ingmar
core
Topology-Aware Multi-Omics Tensor Graph Clustering for Cancer Subtype Identification. [PDF]
Shi H, Leung MF.
europepmc +1 more source
Hydrogel‐Based Airway‐on‐Tube With Perfusable Endothelial Lumen and Outward Epithelialization
A hydrogel‐based airway‐on‐tube platform featuring a perfusable endothelial lumen and outward epithelialization is presented. The system supports primary human bronchial epithelial and lung microvascular endothelial coculture under air‐liquid interface conditions.
Ali Doryab +8 more
wiley +1 more source
Glymphatic system dysfunction in central nervous system malignancies: A narrative review. [PDF]
Villacis G +4 more
europepmc +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Covariant Approach to the Geometric Dilution of Precision. [PDF]
Montesinos RS +2 more
europepmc +1 more source

