Results 81 to 90 of about 1,171,203 (263)

Recent Advances in Light‐Addressable Electrochemistry for Spatially Resolved Applications

open access: yesAdvanced Materials Technologies, EarlyView.
This comprehensive review highlights light‐addressable electrochemistry as a powerful tool that uses light to control localized chemical reactions on unstructured semiconductor surfaces. The work evaluates advanced strategies to optimize electrode materials for enhanced spatial resolution and stability. Furthermore, it showcases diverse applications in
Nhi Trang Vo   +2 more
wiley   +1 more source

Machine-Learning Based Prediction of Hot Tearing Susceptibility for Mg-Zn-Y Ternary Alloys

open access: yes
To address the disadvantage of high cost, long cycle and low throughput of traditional hot tearing evaluation method of magnesium alloys, the present study develops a machine learning-based prediction method for the hot-tearing susceptibility criterion ...
Pingli Mao   +4 more
core   +1 more source

Linking Polyelectrolyte Modification and Enzyme‐Catalyzed Phenolic Acid Functionalization of Cellulose Fiber for Functional Foams

open access: yesAdvanced Materials Technologies, EarlyView.
Cellulose fibers functionalized using cationic poly(Dimethyldiallylammonium chloride) (polyDADMAC) and laccase‐mediated ferulic acid system are processed into foams using different surfactants (Anionic, cationic, and non‐ionic). Fiber–surfactant interactions influence foam stabilization and porous structure formation during convective drying, producing
Abirami Senthil   +4 more
wiley   +1 more source

Degradable Magnetic Composites from Recycled NdFeB Magnets for Soft Actuation and Sensing

open access: yesAdvanced Robotics Research, EarlyView.
This work presents a degradable soft magnetic composite made from recycled NdFeB particles embedded in a gelatin‐based organogel. The material is processed into magnetic sensors and soft robotic components, which can later be dissolved in a green solvent to recover NdFeB magnetic particles.
Muhammad Bilal Khan   +14 more
wiley   +1 more source

HOT TEARING SUSCEPTIBILITY IN DC CAST ALUMINUM ALLOYS

open access: yes, 2012
Hot tearing and loss of dimensional stability are two key defects related to industrial aluminum alloy casting processes. In order to investigate their occurrence, a new semi-solid constitutive law [20] for AA5182 that takes into account cooling rate, grain size and porosity has been implemented into a Direct Chill casting process model for round ...
Jamaly, Nasim   +3 more
openaire   +1 more source

3D Printing of Self‐Healing Polymers by Material Extrusion: A Process‐Centric Review of Setups, Parameters, and Applications

open access: yesAdvanced Robotics Research, EarlyView.
This review highlights recent advances in material extrusion 3D printing of self‐healing polymers, focusing on the interplay between material chemistry, rheology, hardware customization, and process optimization. Filament‐ and ink‐based extrusion strategies, multimaterial architectures, and postprocessing approaches are discussed for applications in ...
Antonio Pavone   +2 more
wiley   +1 more source

Hot tearing in aluminium - Copper alloys

open access: yes, 2005
For many aluminium alloys, hot tearing susceptibility follows a lambda curve relationship when hot tearing severity is plotted as a function of solute content. In the past, there has been some difficulty quantifying hot tearing.
Grandfield, John   +3 more
core  

Photonic Time Crystals and Time‐Varying Electromagnetic Metamatter: A New Direction for Ultrafast Tunable Photonic and Microwave Materials and Devices

open access: yesAdvanced Science, EarlyView.
Photonic time crystals (PTCs) are systems in which electromagnetic parameters are modulated periodically in time, producing momentum bandgaps via temporal scattering rather than spatial Bragg processes. This review examines the theoretical frameworks, modeling, and computational tools for time‐varying media, and summarizes experimental demonstrations ...
Ranjan Kumar Patel   +3 more
wiley   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

open access: yesAdvanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju   +5 more
wiley   +1 more source

Effect of Main Elements (Zn, Mg, and Cu) on Hot Tearing Susceptibility During Direct-Chill Casting of 7xxx Aluminum Alloys

open access: yes, 2019
New 7xxx aluminum alloys with high alloying contents are being designed, which could induce serious hot tearing defects during direct-chill (DC) casting.
Zhang, Z. R.   +20 more
core   +2 more sources

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