Results 221 to 230 of about 97,964 (282)

Exploring Platinum Thin Films as Electrodes for High‐Temperature and ‐Pressure Electrochemical Studies in Aqueous Systems

open access: yesElectrochemical Science Advances, EarlyView.
ABSTRACT This work reports a methodology for the fabrication of Pt thin‐film electrodes for electrochemical studies in hydrothermal systems. The research process was meticulous, with particular attention paid to the multilayer Ti/Pt/Ti/Al2O3 film structure and annealing conditions that are expected to impact the morphology of the films, surface ...
Muna Abdulaziz   +5 more
wiley   +1 more source

Metallic nanoparticle inks for flexible printed electronics

open access: yesFlexMat, EarlyView.
Abstract Flexible printed electronics represent a cutting‐edge technology leveraging functional inks to fabricate electronic circuits and components on diverse flexible substrates. Various advanced printing processes enable the production of computer‐controlled patterns with superior resolution and flexibility.
Ruimin Cai   +9 more
wiley   +1 more source

Interfacial adhesion effects of liquid metal printed electronics on general substrates: Mechanisms and applications

open access: yesInfoMat, EarlyView.
Printed electronics technology is known for its low cost, large area, ease of operation, and high speed, making it suitable for flexible electronic devices. Liquid metals, particularly gallium‐based alloys, are ideal for creating stretchable electronics due to their conductivity.
Chunxue Wan   +5 more
wiley   +1 more source

Machine Learning Helps Data Mining to Build Descriptor Databases for Lithium‐Ion Batteries

open access: yesMetalMat, EarlyView.
Machine learning‐driven research methodologies for lithium‐ion batteries are gaining increasing favor among researchers. By leveraging machine learning algorithms to extract essential descriptor data, this approach can substantially accelerate the development of high‐performance lithium‐ion batteries.
Xiran Zhao   +5 more
wiley   +1 more source

Research on discharge performance prediction of magnesium anode materials assisted by graph neural networks

open access: yesMaterials Genome Engineering Advances, EarlyView.
To establish a model that can accurately predict the performance of magnesium anode alloy materials using material structural information and accelerate the screening of magnesium alloys, this paper proposes an alloy design process, as shown in Figure 1. This method can also be applied to the design of other types of alloy materials.
Xiaoda Liu   +9 more
wiley   +1 more source

A general approach to qualitatively and graphically characterize the diffuse behavior of interstitial nonmetallic atoms in multi‐principal element alloys based on site preference

open access: yesMaterials Genome Engineering Advances, EarlyView.
This graphical abstract illustrates the diffusion behavior of interstitial carbon atoms in an FCC‐CoNiV multi‐principal element alloy (MPEA). To investigate this behavior, lattice structure models of FCC‐CoNiV MPEA were constructed based on the previously predicted site occupancy fractions (SOFs), where the 1a sublattice is entirely filled with V atoms.
Yang Qiao   +14 more
wiley   +1 more source

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