Results 71 to 80 of about 6,248,110 (306)

Supporting AI Readiness Through Digital Workflows in Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns   +67 more
wiley   +1 more source

Chemical, synthesis, characterization and electrochemical properties of α‐Fe2O3/ZnO composite nano‐heterojunction for sensing application

open access: yesNano Select
Low temperature hydrothermal methods have been utilized to synthesize Hematite/Zinc oxide α‐Fe2O3/ZnO composite nano‐heterojunction nanorods grown on FTO glass substrates while monitoring the effect of different concentrations of urea on the morphology ...
Sreymean Ngok   +6 more
doaj   +1 more source

The Role of Ultra‐Thin Passive Films and Organic Adsorbates on Aluminum Chips for a Friction‐Induced Solid‐State Recycling Process

open access: yesAdvanced Engineering Materials, EarlyView.
Despite benefits to storage stability and handleability of aluminum scrap, octadecyl phosphonic acid (ODPA) SAMs reduce the tensile strength of wires produced using friction‐induced recycling. Etching and methyl diphosphonic acid (MDPA) coatings, however, have little effect.
Timothy D. Goller   +3 more
wiley   +1 more source

Spectroscopic and electrochemical properties of 2-aminophenothiazine [PDF]

open access: yesJournal of Photochemistry and Photobiology A: Chemistry, 2008
Phenothiazines derivatives are versatile compounds that are used in many fields, depending on the type and position of the substitution on the parent molecule. The photochemical, photophysical and electrochemical properties of several phenothiazine derivatives have been previously reported in detail.
Luis, Piñero   +6 more
openaire   +2 more sources

Rotary 3D Printing With Integrated Electroplating

open access: yesAdvanced Engineering Materials, EarlyView.
A rotary material extrusion platform integrates localized copper electroplating with printing and encapsulation to fabricate cylindrical polymer–metal structures containing fully embedded, low‐resistance conductive pathways that enable internal Joule heating and thermally activated shape‐memory responses.
Antonio Zagaria   +5 more
wiley   +1 more source

Transactions of the American Electrochemical Society.

open access: yes, 1902
Vols. for -1930 published: New York City.Mode of access: Internet.Vols. 1 (1902)-20 (1911). 1 v.; Vols. 21 (1912)-40 (1921).
American Electrochemical Society.
core  

Carbon nanotubes grown directly on Ti electrodes and enhancement of their electrochemical properties by nitric acid treatment 

open access: yes, 2020
[[abstract]]The direct growth and electrochemical (EC) properties of multiwalled carbon nanotubes (MWNTs) on Ti foil have been investigated. The EC properties of MWNTs were probed before and after HNO3 treatment.
Su, YO, 蘇玉龍
core  

Effect of Electrochemical Charging on Elastoplastic Properties and Fracture Toughness of Li[subscript X]CoO[subscript 2]

open access: yes, 2014
Mechanical degradation of lithium-ion battery (LIB) electrodes has been correlated with capacity fade and impedance growth over repeated charging and discharging.
Ferralis, Nicola   +5 more
core   +1 more source

The electrochemical properties of Sr(Ti,Fe)O3-δ for anodes in solid oxide fuel cells [PDF]

open access: yes, 2017
Reduction-stable mixed ionic and electronic conductors such as Sr(Ti,Fe)O3-δ (STF) are promising materials for application in anodes of solid oxide fuel cells.
Barnett, Scott   +16 more
core   +1 more source

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

open access: yesAdvanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin   +14 more
wiley   +1 more source

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