Results 21 to 30 of about 1,190 (187)
SuFEx‐Enabled Reprogramming of Flavonoids for Selective α‐Glucosidase Covalent Inhibition
Selective inhibition of intestinal α‐glucosidase remains limited by poor enzyme specificity and off‐target metabolic effects. Here, SuFEx click chemistry is used to reprogram natural flavonoids into covalent inhibitors with enhanced α‐glucosidase selectivity and controlled reactivity. This strategy enables effective regulation of carbohydrate digestion
Fengyu Guo +14 more
wiley +1 more source
Large Temperature‐invariant Anomalous Nernst Effect in Non‐collinear Antiferromagnet Mn3Pt
Based on the noncollinear antiferromagnetic Mn3Pt thin films, the composition‐tunable Mn‐3d orbital states directly govern the Berry curvature. As a result, a giant and temperature‐invariant anomalous Nernst coefficient of 0.71 µV/K is achieved under Mn‐rich conditions.
Pengwei Gong +16 more
wiley +1 more source
STransformer is a unified deep learning framework designed to seamlessly accommodate a comprehensive landscape of spatial data. By simultaneously capturing short‐range cellular interactions and tissue‐wide semantic patterns, it extracts robust representations to accurately dissect complex tissue heterogeneity.
Xingyi Li +9 more
wiley +1 more source
Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective
Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe +4 more
wiley +1 more source
Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang +9 more
wiley +1 more source
Our work bridges the gap between skyrmion discovery and material design by demonstrating how atomic‐scale control of exchange interactions enables tunable skyrmion phase transitions in centrosymmetric magnetic metals. ABSTRACT Magnetic skyrmions are topologically protected spin states that hold promise for shaping the future of electronics.
Dasuni N. Rathnaweera +9 more
wiley +1 more source
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Outer Approximation Algorithms for DC Programs and Beyond
We consider the well-known Canonical DC (CDC) optimization problem, relying on an alternative equivalent formulation based on a polar characterization of the constraint, and a novel generalization of this problem, which we name Single Reverse Polar ...
ZHANG, QINGHUA
core
Temperature‐graded ALD of HfZrOx (HZO) enables strain‐enhanced stabilization of the ferroelectric o‐phase, achieving simultaneously high polarization, fast switching, and robust endurance in BEOL‐compatible FeCAPs. ABSTRACT Ferroelectric Hf0.5Zr0.5O2 (HZO) capacitors hold great promise for next‐generation nonvolatile memory and logic applications ...
Sheng‐Yen Zheng +5 more
wiley +1 more source
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez +10 more
wiley +1 more source

