Results 61 to 70 of about 1,041,897 (290)

Bio‐Inspired Artificial Ionic Mechanoreceptor

open access: yesAdvanced Functional Materials, EarlyView.
A skin‐inspired artificial mechanoreceptor based on ionic interactions is presented for biomimetic tactile sensing. Pressure‐driven ionic redistribution within microfluidic channels generates a self‐powered electrical signal without external bias. The generated waveform exhibits mechanoreceptor‐like temporal features, including overshoot and undershoot,
Mohammad Akbari   +4 more
wiley   +1 more source

انتاج خرسانة حرارية عازلة من مواد محلية

open access: yesJournal of Engineering and Sustainable Development, 2019
The research examines the possibility of producing insulating castable Refractory from locally available raw materials consisting of thermal aggregates represented by alumina bricks, which produce in large quantities in factories as industrial residues,
أحمد جبار محسن   +2 more
doaj  

Study of the dimensions of double-torsion test specimens

open access: yesMaterials Research, 2008
Double-torsion tests were carried out to ascertain whether a thin test specimen would affect the results of this test. The tests involved two test specimen sizes, one with a thickness five-fold greater than the particle size of the material and the other
Maria da Consolação Fonseca de Albuquerque   +1 more
doaj   +1 more source

Improvement in Slag Resistance of No-Cement Refractory Castables by Matrix Design

open access: yesCeramics, 2020
The corrosion resistance of spinel containing cement bonded castables has been extensively investigated in the past. However, corrosion of no-cement refractory castables (NCC) has not been widely studied since the use of NCC has been relatively limited ...
Hong Peng   +3 more
doaj   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

open access: yesAdvanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu   +3 more
wiley   +1 more source

Blending With Insulating Polymers Enables Stable Anti‐Ambipolar Characteristics in n‐Type Organic Mixed‐Conductors for Heterogeneous Spiking Neurons

open access: yesAdvanced Materials, EarlyView.
A polymer blend of n‐type OMIEC P(gNDI‐gT2) with insulating PMMA yields mechanically stabilized, anti‐ambipolar organic electrochemical transistors (OECTs) with tunable ionic‐electronic transport. This blending allows low‐power, fast‐spiking heterogeneous Hodgkin–Huxley neurons, enabling biomimetic frequency deconvolution and reservoir computing, which
Zachary Laswick   +12 more
wiley   +1 more source

Preparation and properties of low cement castable sintered at different temperatures [PDF]

open access: yesProcessing and Application of Ceramics, 2009
The low cement high alumina castable (LCC) studied in this paper was synthesised, cured and then treated at different sintering temperatures. Since any inhomogeneity introduced during the castable preparation can remain inside the material degrading its ...
Sanja Martinović   +3 more
doaj  

Effects of firing temperature on the physical properties of a bauxite-based refractory castable

open access: yesRefractories and industrial ceramics, 2012
A self-flowing low-cement bauxite castable was prepared from 64 wt.% rotary Chinese bauxite and 10 wt.% Eczacibasi calcined alumina aggregates with additives of 5 wt.% Lafarge cement Secar 71, 8 wt.% Elkem microsilica 971U, and 0.05 wt.% dispersant ...
C. Göğtaş   +6 more
semanticscholar   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

open access: yesAdvanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen   +7 more
wiley   +1 more source

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