Results 41 to 50 of about 177,387 (215)

The Impact of <i>In Situ</i>-Formed Spinel on the Porosity of No-Cement Refractory Castables

open access: yes, 2017
The paper focuses on the determination of how in-situ formed magnesia-alumina spinel (MA spinel) content in corundum refractory castables influences the final properties and pore size distribution of no-cement refractory castables.
Lenka Nevřivová
core   +1 more source

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

Influência de aditivos dispersantes nas propriedades de concretos refratários de Al2O3 e Al2O3-MgO Influence of dispersants in Al2O3 and Al2O3-MgO refractory castables

open access: yesCerâmica, 2004
O estado de dispersão das partículas constituintes da matriz de concretos apresenta uma influência direta no comportamento reológico desses materiais, determinando as técnicas que podem ser usadas para a sua aplicação.
I. R. de Oliveira   +4 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

Adição de microssílica e a secagem de concretos refratários Microsilica addition and the drying of refractory castables

open access: yesCerâmica, 2004
A microssílica é o material superfino (
R. D. dos Anjos   +3 more
doaj   +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

Módulo elástico como ferramenta para avaliação da hidratação da magnésia e dos processamento de concretos refratários Elastic modulus as a tool for magnesia hydration and refractory castables processing evaluation

open access: yesCerâmica, 2012
Considerando-se as dificuldades para a utilização de MgO em concretos refratários, técnicas anti-hidratação têm sido propostas com o objetivo de minimizar os efeitos deletérios causados pela reação da magnésia com a água. Em paralelo, surge a necessidade
T. M. Souza   +3 more
doaj   +1 more source

An investigation of the characteristics of high alumina refractory castables [PDF]

open access: yes, 1954
Refractory castables or concretes, a comparatively new member of the refractories family, are an admixture of highly aluminous cements and graded refractory aggregates, blended in predetermined proportions very much like structural concrete.
Mohanty, Gajendra Nath
core  

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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