Results 41 to 50 of about 1,965,773 (275)

Designing Vanadium‐Based Oxide Electrocatalysts for Water Splitting: Experimental and Mechanistic Insights with Machine Learning

Advanced Functional Materials, EarlyView.
This review establishes structure‐property‐mechanism relationships across six modification strategies for V‐based oxide water‐splitting electrocatalysts: lattice engineering, heteroatom doping, interface engineering, carbon‐based hybridization, morphology engineering, and surface reconstruction and pre‐catalyst design, where dissolution is reframed as ...
Youness El Issmaeli, Amina Lahrichi, Hoje Chun, Rafael Gómez‐Bombarelli, Bruno G. Pollet   +4 more
wiley   +1 more source

NONLINEAR MULTILEVEL ANALYSIS OF REINFORCED CONCRETE FRAMES

Engineering Structures and Technologies, 2016
Full range analysis of reinforced concrete (RC) members covering the post-crack and post-peak regimes is important for obtaining the deformation response and failure mode of structural members. When a RC member is subject to an increasing external load, the critical sections would exhibit cracking and/or softening.
Kwan, AKH, Ng, PL, Lam, JYK
openaire   +5 more sources

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

Advanced 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, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced 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, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Seismic strengthening of reinforced concrete frames by precast concrete panels

Magazine of Concrete Research, 2011
An innovative occupant-friendly retrofitting technique has been developed for reinforced concrete (RC)-framed structures which constitute the major portion of the existing building stock. The idea is to convert the existing hollow brick infill wall into a load-carrying system acting as a cast-in-place concrete shear wall by reinforcing it with ...
Baran, M., Susoy, M., Okuyucu, D., Tankut, T.   +3 more
openaire   +3 more sources

Volatile Memristive Devices With Tunable Temporal Dynamics For Event‐Based Sensing

Advanced Materials, EarlyView.
Tunable volatile memristive devices can serve various neural‐inspired tasks that require different time windows of information retention. The ionic‐based volatility of the presented Pt/a‐STO/TaOx/Ta device stack can be reproducibly and controllably tuned in multiple ways.
Dimitrios Spithouris, Johannes Hellwig, Hugh Greatorex, Clemens Wittberg, Panagiotis Koutsogiannis, César Magén, Elisabetta Chicca, Regina Dittmann   +7 more
wiley   +1 more source

Fracture Behavior of Fiber-Reinforced Concrete Assessed Using a High-Speed Camera

Buildings
The brittle characteristics of fiber-reinforced concrete make it difficult to capture the time-varying properties during its flexural failure. This study employed high-speed imaging to investigate the effects of polypropylene fiber, polyvinyl alcohol ...
Xianzhang Wang, Ting Wang, Yu Qin, Weina Wang, Di Wang, Yong Zheng   +5 more
doaj   +1 more source

COMPUTER TECHNOLOGIES IN THE FORMATION OF COMPUTED MODELS OF MONOLITHIC REINFORCED CONCRETE STRUCTURES

International Journal for Computational Civil and Structural Engineering, 2017
The areas of application of concrete and reinforcement of higher grades for strength in structural elements of a monolithic reinforced concrete frame are considered.
Anatoliy I. Bedov, Aleksandr S. Salov, Azat I. Gabitov, Dmitriy М. Kuznetsov, Elza A. Sadykova   +4 more
doaj   +1 more source

FEM model for reinforced concrete frames loaded by seismic forces [PDF]

Theoretical and Applied Mechanics, 2005
Objective of the presented research is the formulation of one enough sophisticated and, for engineering practice, convenient finite element method (FEM) based numerical model for reinforced concrete frames loaded by seismic actions.
Kovačević Dušan
doaj   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source