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Pore-scale investigation of two-dimensional water–oil displacement in fractured porous media
The pore and branching fracture structures in both naturally and artificially fractured reservoirs significantly affect the water–oil displacement...
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Hypergeometric potential inflation and swampland program in rescaled gravity with stringy corrections
Motivated by string theory activities, we investigate inflationary models and the swampland criteria in the context of a stringy rescaled gravity....
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Extended BMT equations and the anomalous magnetic moment
We propose a generalized form of the Thomas–Bargmann–Michel–Telegdi equations. These are first-order in both electric and magnetic fields and retain...
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Manufacturing of copper-chromium composite using electrochemical additive manufacturing method: a screening study
The demand for additive manufacturing (AM) metal parts has increased today. Still, the general procedure of these methods is to apply heat to metal...
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A scale conjugate gradient neural network for the hard water consumption using the kidney function
The term “hard water” refers to water management in Nusa Tenggara Timur that has a higher proportion of the ion’s minerals magnesium and calcium....
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Quantitative and Qualitative Analysis of Advanced Aluminum Composites for Heat Transfer Properties
The effectiveness of improvising heat transfer material when building heat sinks gave rise to the concept for this study. The development of...
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Recent advances in surface engineering of additive manufactured materials for enhancing corrosion resistance
Additive manufacturing processes have gained popularity for their ability to create complex geometries, but they often introduce unique challenges in...
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Characteristics and Formation Mechanism of Ca–Mg–Al–Si–O + (Ca,Mn)S Duplex Inclusions in Ca–S Free-Cutting Steel
Large numbers of long strip-shaped pure MnS inclusions in steel will result in anisotropy of mechanical properties. To obtain more duplex (Ca,Mn)S...
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Multi-channel anomaly detection using graphical models
Anomaly detection in multivariate time-series data is critical for monitoring asset conditions, enabling prompt fault detection and diagnosis to...
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A novel fusion feature imageization with improved extreme learning machine for network anomaly detection
As the complexity and quantity of network data continue to increase, accurate and efficient anomaly detection methods become critical. Deep...
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Enhancing weld line visibility prediction in injection molding using physics-informed neural networks
This study introduces a novel approach using Physics-Informed Neural Networks (PINN) to predict weld line visibility in injection-molded components...
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Correlation Between Elastic Properties and Phase Transformation of Zr50Pd50−xRux High-Temperature Shape Memory Alloys Designed by DFT
The effect of Ru addition on the martensitic transformation and mechanical properties of Zr 50 Pd 50− x Ru x SMAs shape memory alloys has been studied....
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Strain Hardening in Dilute Binary Al–Cu, Al–Zn, and Al–Mn Alloys: Experiment and Modeling
During thermo-mechanical processing, dissolved alloying elements have a huge impact on the microstructure evolution by influencing the overall...
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Utilizing γ- and θ-Alumina from Aluminium Black Dross for Catalytic Applications: Hybrid Sustainable Pyro–Hydrometallurgy and Residue Heat Utilization
This study is aimed at extracting γ- and θ-alumina from recycled black aluminium dross for catalytic applications, employing a novel hybrid...
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Three-channel acoustic switch based on topological phononic crystals
In this study, edge states with topological characteristics have been simulated using a square phononic crystal consisting of cross-shaped scatterers...
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Multi-objective optimization of PLA-FDM parameters for enhancement of industrial product mechanical performance based on GRA-RSM and BBD
The FDM™/FFF technology is widely adopted in both hobbyist and professional 3D printing communities, offering a plethora of printing parameters for...
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Deep reinforcement learning based mapless navigation for industrial AMRs: advancements in generalization via potential risk state augmentation
This article introduces a novel Deep Reinforcement Learning (DRL)-based approach for mapless navigation in Industrial Autonomous Mobile Robots,...
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Enhancement of Microstructural and Tensile Isotropy for Ti–6Al–4V and Ti–6Al–2Sn–2Zr–2Mo–2Cr Alloys Deposited with Wire Arc Additive Manufacturing and Interlayer Peening
AbstractThe wire arc additive manufacturing (WAAM) deposition of Ti–6Al–4V (Ti64) and Ti–6Al–2Sn–2Zr–2Mo–2Cr (Ti62222) alloys produce long columnar...
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Interfacial microstructure and electrochemical behavior of diffusion welded joints of Zr-Alloy and super duplex stainless steel
In this study, solid-state diffusion welded joints of zirconium alloy (Zr-Alloy) and super duplex stainless steel (SS) were prepared at 875 °C with...
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Context-aware cross feature attentive network for click-through rate predictions
Click-through rate (CTR) prediction aims to estimate the likelihood that a user will interact with an item. It has gained significant attention in...
