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Tannin characterization and sourcing in historical leathers through FTIR spectroscopy and PCA analysis
This study aimed to identify and classify the type of plants used for tanning historical leathers using cost-effective Fourier transform infrared...
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Component test for the assessment of delayed hydrogen-assisted cracking in thick-walled SAW joints for offshore applications
Offshore wind turbines continuously increase in size and weight and demand adequate offshore foundations concepts like monopiles, tripods, or...
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Compositional Dependence of the Recrystallization and Grain Growth in Strongly-distorted Pd-containing Multi-Component Equiatomic Alloys
The equiatomic high entropy alloy (HEA) NiCoCrFePd crystalizes as a single face-centered cubic (FCC) phase with strong local lattice distortion due...
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A Hall–Petch study of the high toughness Cr40Co30Ni30 multi-principal element alloy
Multi-principal element alloys (MPEAs) are an emergent class of metallic materials that displays a huge range of possible properties and...
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Integrating atomistic simulations and machine learning to design multi-principal element alloys with superior elastic modulus
Multi-principal element, high entropy alloys (HEAs) are an emerging class of materials that have found applications across the board. Owing to the...
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pyMPEALab Toolkit for Accelerating Phase Design in Multi-principal Element Alloys
Multi-principal element alloys (MPEAs) occur at or nearby the centre of the multicomponent phase space, and they have the unique potential to be...
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In-situ non-invasive analysis of conservation materials on mural paintings: a systematic approach in Dahuting Han Dynasty Tomb
In this study, the in-situ non-invasive analysis of the conservation materials on the mural paintings in the Dahuting Han Dynasty Tomb was performed....
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Machine-learning-assisted analysis of transition metal dichalcogenide thin-film growth
In situ reflective high-energy electron diffraction (RHEED) is widely used to monitor the surface crystalline state during thin-film growth by...
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Multi-principal element grain boundaries: Stabilizing nanocrystalline grains with thick amorphous complexions
Amorphous complexions have recently been demonstrated to simultaneously enhance the ductility and stability of certain nanocrystalline alloys. In...
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Establishment of the management effectiveness assessment system of world natural heritage and empirical analysis—a case study of Fan**gshan
Although there are more than 270,000 protected areas worldwide, there is currently little data on their protection and management effectiveness. As a...
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Composition design of high yield strength points in single-phase Co–Cr–Fe–Ni–Mo multi-principal element alloys system based on electronegativity, thermodynamic calculations, and machine learning
A method which combines electronegativity difference, CALculation of PHAse Diagrams (CALPHAD) and machine learning has been proposed to efficiently...
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Preparation and properties of bulk ZnO/MoS2 nanocomposite by cold sintering process with three-component solvent
AbstractThe cold sintering process was applied as a suitable method to produce high relative density (> 90%) ZnO/MoS 2 nanocomposite. The cold...
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NIR spectroscopy in conjunction with multivariate analysis for non-destructive characterization of Xuan paper
In the process of conservation mounting, starch paste made from wheat flour is the glue of choice to paste reinforcing strips and backing papers,...
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Jan Steen’s ground layers analysed with Principal Component Analysis
In-depth technical and art historical research into Jan Steen’s (ca. 1626–1679) oeuvre has been a focus at the Mauritshuis since 2012, as part of the...
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Effect of the Impacting Electrode Shape on the Stress-Strain State of a Plate After Using the Dynamic Component of Electrodynamic Treatment
The effect of the impacting electrode shape on the stress-strain state of a welded plate made of AMg6 aluminum alloy after using the dynamic...
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Optimal principal component analysis of STEM XEDS spectrum images
STEM XEDS spectrum images can be drastically denoised by application of the principal component analysis (PCA). This paper looks inside the PCA...
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Machine-learning-guided descriptor selection for predicting corrosion resistance in multi-principal element alloys
More than $270 billion is spent on combatting corrosion annually in the USA alone. As such, we present a machine-learning (ML) approach to down...
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Acoustic Emission Cluster Analysis of Composite Laminates with Different Interfacial Fiber Orientations Based on Gaussian Mixture Model
AbstractThe present study aimed to find a method with higher efficiency to cluster acoustic emission events. The acoustic emission signals of...
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Artificial Intelligence Analysis of Macroscopic X-Ray Fluorescence Data: A Case Study of Nineteenth Century Icon
This work comprehensively reviews artificial intelligence (AI) methods for macroscopic X-ray fluorescence (MA-XRF) data analysis of a religious panel... -
Rapid, Non-destructive Identification of Iron Ores-Based Random Forest (RF) Using Visible and Near-Infrared Spectroscopy
Visible and near-infrared (Vis–NIR) spectroscopy technology can better meet the needs of identification of mineral differences in iron ores by using...