Results 161 to 170 of about 73,024 (301)

Structural Behavior and Failure Characteristics of Fiber-Reinforced Polymer-Concrete Composite Beams Incorporating Glass Roving Tied GFRP Shear Connectors. [PDF]

Polymers (Basel)
Mehra AS, Singh SB, Kodur V.
europepmc   +1 more source

Investigation of the Lithium Extraction Mechanism from LiNi0.6Mn0.2Co0.2O2 by Using Operando Neutron Diffraction in an All‐Solid‐State Battery

Advanced Energy Materials, EarlyView.
All‐solid‐state batteries (ASSB) are promising for high‐energy applications. Using a newly designed electrochemical cell, this study demonstrates reversible Li+ insertion/extraction in a thick ASSB and enables operando neutron diffraction. The results reveal structural evolution and H1‐H2 phase coexistence in LiNi0.6Mn0.2Co0.2O2 (NMC622), while ...
Sreelakshmi Anil Kumar, Dhanush Shanbhag, Ove Korjus, Prashanth Sivakumar, Laurence Croguennec, Christian Masquelier, Jean‐Noël Chotard, Emmanuelle Suard   +7 more
wiley   +1 more source

Selective Electrolysis of Water Under Artificial Seawater Conditions Using Transition Metal Borate Anodes

Advanced Energy Materials, EarlyView.
The borate‐based cobalt‐iron catalyst promotes selective oxidation of water rather than chlorine evolution reaction during electrolysis of seawater. When integrated into a zero‐gap electrolyzer prototype, this catalyst supports robust splitting of artificial seawater into oxygen and hydrogen on an extended timescale.
Ananta R. Fareza, Hank Garg, Luis Miguel Azofra, Darcy Simondson, Tam D. Nguyen, Mohamed R. Rizk, Khang N. Dinh, Rosalie K. Hocking, Douglas R. MacFarlane, Hoang‐Long Du, Alexandr N. Simonov   +10 more
wiley   +1 more source

Ensemble machine learning-based sensitivity and parametric assessment of headed stud shear connectors behavior in composite construction. [PDF]

Sci Rep
Habib A, Alhashash M, Al Houri A, Habib M, Junaid MT, Altoubat S, Maalej M.   +6 more
europepmc   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source

Construction of Composite Slab by Using Prestressed OMNIA Slab System

Concrete Journal, 1978
Akira Takigami, Sho-ichi Kobayashi, Katsuya Okada, Ei-ichiro Yasuki   +3 more
openaire   +2 more sources

Experimental Investigation on the Bending Performance of Steel-Concrete Composite Beams After Creep. [PDF]

Materials (Basel)
Ding F, Dai Y, He X, Lyu F, Duan L.
europepmc   +1 more source

Steel-concrete composite slabs structutal system

, 2015
Ensuring the full connection between steel sheet and concrete after applying a load to composite slabs is still nowadays something difficult to achieve. The aim of the current project is to reveal the experimental results of a new bonding system, under patent [19] by the Universitat Politècnica de Catalunya (UPC) which its function is to resist the ...
openaire   +1 more source

Experimental Study on the Fatigue Degradation of Prestressed Concrete Slabs for Composite Bridges. [PDF]

Materials (Basel)
Li W, Ma R, Liu Y, Liang C.
europepmc   +1 more source

Long-Term Performance Evaluation of an FRP Composite Road Bridge Using DFOS Monitoring System. [PDF]

Sensors (Basel)
Kulpa M, Siwowski T, Rajchel M, Błazik-Borowa E, Jukowski M.   +4 more
europepmc   +1 more source