Results 91 to 100 of about 11,043 (218)

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

open access: yesAdvanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer   +4 more
wiley   +1 more source

The limitations of dispersive freedom : Michel Foucault and historiography [PDF]

open access: yes
In this thesis I argue that Foucault's dispersive historiography is a deepening rather than a purifying of historical existence. This emphasis upon dispersion as a critical principle is contrasted with, and delimited by the possibility of the ...
Ashby, David
core  

Virginity matters: power and ambiguity in the attraction of the Virgin Mary [PDF]

open access: yes, 2003
This thesis seeks to account for virginity as the source of Mary's power to attract. The point of departure is the syncretistic culture of the classical world. Here, patristic use of Old Testament typology recognises the distinctive work of grace in Mary'
Warner, Martin Clive
core  

Microstructure, Thermal Transport, and Dry‐Sliding Tribology of Powder‐Metallurgy Al7075 Composites Reinforced With Sol–Gel‐Derived ZnO–rGO Hybrid Nanoparticles

open access: yesAdvanced Engineering Materials, EarlyView.
Sol–gel‐derived ZnO–rGO hybrid nanoparticles enable Al7075 powder‐metallurgy composites to achieve concurrent gains in hardness and thermal conductivity while markedly lowering friction and wear. The hybrid architecture couples ZnO‐based load support with rGO‐assisted lamellar sliding and heat spreading, revealing a promising route toward lightweight ...
Bunyamin Aksakal   +3 more
wiley   +1 more source

Design and Analysis of Compression–Torsion Coupling Metamaterials Using the Golden Section Method

open access: yesAdvanced Engineering Materials, EarlyView.
A novel compression–torsion metamaterial is engineered using inclined rods and symmetry breaking. To optimize its torsional performance, the golden section method is employed. The mechanical response of the metamaterial is validated through both numerical analysis and experimental validation.
Amirhossein Hassani, Sara Bagherifard
wiley   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

open access: yesAdvanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova   +9 more
wiley   +1 more source

Fast Charge–Discharge of LiNi0.9Co0.05Mn0.05 Enabled by a Bikitaite‐Infused Separator for Li Metal Batteries

open access: yesAdvanced Functional Materials, EarlyView.
A bikitaite‐infused cellulose separator is introduced for Li metal batteries, leveraging bikitaite zeolite's ion‐conductive properties to regulate Li+‐ion flux and suppress dendrite growth. The membrane design ensures uniform Li plating, enhanced electrolyte wettability, and robust thermal/mechanical stability, delivering stable performance and low ...
Isheunesu Phiri   +2 more
wiley   +1 more source

Exploring an Alternative to mRNA Vaccine Cold Chain Storage: MRNA‐Lipid Nanoparticle Stability When Dried in a Polymer Matrix

open access: yesAdvanced Functional Materials, EarlyView.
The nanostructure, size, and function of mRNA‐loaded lipid nanoparticles are evaluated before drying, within polymer microneedles, and after rehydration. The results reveal the polymer and LNP loadings required to recover nanostructure and preserve the delivery performance in dry‐state formulations.
Brendan P. Dyett   +19 more
wiley   +1 more source

Perspektiven [PDF]

open access: yes, 2013
Noel, Patrizia   +2 more
core   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

open access: yesAdvanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou   +5 more
wiley   +1 more source

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