Ni-doped perovskite LaCo1-xNixO3-δ (LCNx) materials with x values of 0, 0.2, 0.4, and 0.6 (designated as LCN00, LCN20, LCN40, and LCN60, respectively) were synthesized and tested as cathodes for Protonic Ceramic Fuel...
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The corrosion resistance and antibacterial properties of Ti−3Cu alloy prepared by selective laser melting were evaluated using electrochemical experiments and a variety of antibacterial *** is found that the charge tr...
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The corrosion resistance and antibacterial properties of Ti−3Cu alloy prepared by selective laser melting were evaluated using electrochemical experiments and a variety of antibacterial *** is found that the charge transfer resistance of Ti−3Cu alloy was 4.89×10^(5)Ω∙cm^(2),which was doubled the data obtained by CP-Ti *** antibacterial rates of Ti−3Cu alloy against *** and *** were 45.0%and 54.5%.And the antibacterial rates increased with the prolongation of cultivation time,reaching up to 62.8%and 68.6%,*** in-situ nano Ti_(2)Cu precipitates were homogeneously distributed in the matrix of the Ti−3Cu alloy,which was the key reason of increasing the corrosion ***,the microscale electric fields between theα-Ti matrix and the Ti_(2)Cu was responsible for the enhancement of the antibacterial properties.
Semiconductor electrocatalysis with weak conductivity can accumulate extremely high carriers at semiconductor-electrolyte interface by self-gating effect,which strongly promotes electrocatalytic *** correlation betwee...
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Semiconductor electrocatalysis with weak conductivity can accumulate extremely high carriers at semiconductor-electrolyte interface by self-gating effect,which strongly promotes electrocatalytic *** correlation between semiconductor carrier mobility and electrocatalysis performance is still *** atomic-thin transition metal dichalcogenides based composites have been developed for hydrogen evolution reaction(HER)performed with on-chip *** and electrochemical measurement of individual flack verified the key role of high carrier mobility for enhanced HER *** mobility regulation further demonstrated its high dependence with HER performance under *** study provides new insight into the carrier mobility of the semiconductor in the electrocatalysis,paving the way for designing high-performance semiconductor catalysts.
Generative models have received significant attention in recent years for materialsscience applications, particularly in the area of inverse design for materials discovery. However, these models are usually assessed ...
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Generative models have received significant attention in recent years for materialsscience applications, particularly in the area of inverse design for materials discovery. However, these models are usually assessed based on newly generated, unverified materials, using heuristic metrics such as charge neutrality, which provide a narrow evaluation of a model’s performance. Also, current efforts for inorganic materials have predominantly focused on small, periodic crystals (≤ 20 atoms), even though the capability to generate large, more intricate and disordered structures would expand the applicability of generative modeling to a broader spectrum of materials. In this work, we present the Disordered materials & Interfaces Benchmark (Dismai-Bench), a generative model benchmark that uses datasets of disordered alloys, interfaces, and amorphous silicon (256-264 atoms per structure). Models are trained on each dataset independently, and evaluated through direct structural comparisons between training and generated structures. Such comparisons are only possible because the material system of each training dataset is fixed. Benchmarking was performed on two graph diffusion models and two (coordinate-based) U-Net diffusion models. The graph models were found to significantly outperform the U-Net models due to the higher expressive power of graphs. While noise in the less expressive models can assist in discovering materials by facilitating exploration beyond the training distribution, these models face significant challenges when confronted with more complex structures. To further demonstrate the benefits of this benchmarking in the development process of a generative model, we considered the case of developing a point-cloud-based generative adversarial network (GAN) to generate low-energy disordered interfaces. We tested different GAN architectures and identified reasons for good/poor performance. We show that the best performing architecture, CryinGAN, outperforms the U-N
The aim is to investigate the machining parameters that are important to optimise surface roughness (Ra) through experimentation for EN45 steel material (AISI 9260). Optimisation of the machining parameters for a cyli...
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Recently, low-frequency mechanical energy harvesters based on solid-liquid contact electrification have garnered widespread attention for their unique advantages in wear resistance, high charge transfer efficiency, an...
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The crystal plasticity finite element method (CPFEM) is a widely used technique for resolving macroscopic stress and strain onto the physically relevant length scales of grains and slip systems in ductile crystalline ...
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Human–machine interfaces (HMIs) enable the intuitive cognition and interaction between users and devices [1–3]. The conventional HMIs such as mouse, keyboard and touchscreen have significantly simplified the manipul...
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Human–machine interfaces (HMIs) enable the intuitive cognition and interaction between users and devices [1–3]. The conventional HMIs such as mouse, keyboard and touchscreen have significantly simplified the manipulations of computers and associated devices, while they suffer from bulk, big footprint and mechanical noncompliance for applications in virtual/augmented reality and Internet of Things, and more importantly, difficulties in operation for people with disabilities such as dexterity impairments or neurological conditions [4,5].
To achieve the best shock absorption effect of the hexapod robot, the influence of three leg structures on the stability of the hexapod robot under different path environments was studied, and a set of highly implemen...
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In the present work, the ideal shear strength ([[EQUATION]]) of dilute Ni34XZ ternary alloys (X or Z = Al, Co, Cr, Fe, Mn, Mo, Nb, Si, Ti) are predicted by first-principles calculations based on density functional the...
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