Results 51 to 60 of about 12,546 (265)

Proximity‐Tuned Magnetic and Transport Anomalies in All‐Epitaxial Fe5−xGeTe2/WSe2 Van der Waals Heterostructures

open access: yesAdvanced Functional Materials, EarlyView.
All‐epitaxial and scalable ferromagnetic/non‐magnetic Fe5−xGeTe2/WSe2 van der Waals (vdW) heterostructures exhibiting room‐temperature magnetism and perpendicular magnetic anisotropy (PMA) are realized. The system displays proximity‐tuned magnetic anisotropy, thickness‐dependent unconventional Hall effects, and temperature‐dependent sign reversal of ...
Hua Lv   +15 more
wiley   +1 more source

3D Fiber-Based Frame Element with Multiaxial Stress Interaction for RC Structures

open access: yesAdvances in Civil Engineering, 2018
A three-dimensional fiber-based frame element accounting for multiaxial stress conditions in reinforced concrete structures is presented. The element formulation relies on the classical Timoshenko beam theory combined with sectional fiber discretization ...
Alexander Kagermanov, Paola Ceresa
doaj   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

open access: yesAdvanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam   +6 more
wiley   +1 more source

Reinforced Concrete Finite Element Modeling based on the Discrete Crack Approach

open access: yesCivil Engineering Dimension, 2016
The behavior of reinforced concrete elements is complex due to the nature of the concrete that is weak in tension. Among these complex issues are the initial cracking and crack propagation of concrete, and the bond-slip phenomenon between the concrete ...
Sri Tudjono   +2 more
doaj  

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

open access: yesAdvanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Damage Detection in FRP-Reinforced Concrete Elements

open access: yesMaterials
Fiber-Reinforced Polymer (FRP) composites have emerged as a promising alternative to conventional steel reinforcements in concrete structures owing to their benefits of corrosion resistance, higher strength-to-weight ratio, reduced maintenance cost, extended service life, and superior durability.
Pranit Malla   +5 more
openaire   +2 more sources

FEATURES OF MODELING THE OPERATION OF REINFORCED CONCRETE STRUCTURES USING INCONSISTENT FINITE ELEMENT MODELS

open access: yesInternational Journal for Computational Civil and Structural Engineering
his article is devoted to the development of inconsistent finite element models of reinforcing rods for strength analysis of reinforced concrete structures.
Ivan Nesterov   +2 more
doaj   +1 more source

Numerical solution of reinforced concrete beam using arc-length method [PDF]

open access: yesBiuletyn Wojskowej Akademii Technicznej, 2016
This article discusses numerical solution of a reinforced concrete beam. The modelling was conducted with the rules of the finite element method (FEM).
Piotr Smarzewski
doaj   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

open access: yesAdvanced Materials, EarlyView.
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

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
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

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