AIMC Topic: Alloys

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Predicting the tensile properties of heat treated and non-heat treated LPBFed AlSi10Mg alloy using machine learning regression algorithms.

PloS one Jun 2, 2025
In this study, the ability of machine learning algorithms to predict tensile properties of both heat-treated and non-heat treated LPBFed AlSi10Mg alloy is investigated. The data was analyzed using various Machine Learning Regression (MLR) models such...
Machine Learning Algorithms Hot Temperature Tensile Strength Alloys Magnesium Materials Testing
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Supervised Machine Learning and Physics Machine Learning approach for prediction of peak temperature distribution in Additive Friction Stir Deposition of Aluminium Alloy.

PloS one Apr 4, 2025
Additive friction stir deposition (AFSD) is a novel solid-state additive manufacturing technique that circumvents issues of porosity, cracking, and properties anisotropy that plague traditional powder bed fusion and directed energy deposition approac...
Friction Supervised Machine Learning Alloys Temperature Aluminum Machine Learning Algorithms Neural Networks, Computer
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Deep-Learning Potential Molecular Dynamics Study on Nanopolycrystalline Al-Er Alloys: Effects of Er Concentration, Grain Boundary Segregation, and Grain Size on Plastic Deformation.

Journal of chemical information and modeling Mar 14, 2025
Understanding the tensile mechanical properties of Al-Er alloys at the atomic scale is essential, and molecular dynamics (MD) simulations offer valuable insights. However, these simulations are constrained by the unavailability of suitable interatomi...
Alloys Molecular Dynamics Simulation Nanostructures Deep Learning Particle Size Density Functional Theory Aluminum
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Rapid and Differential Diagnosis of Sepsis Stages Using an Advanced 3D Plasmonic Bimetallic Alloy Nanoarchitecture-Based SERS Biosensor Combined with Machine Learning for Multiple Analyte Identification.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Feb 17, 2025
Rapid and accurate differential diagnosis of infections, sepsis, and septic shock is essential for preventing unnecessary antibiotic overuse and improving the chance of patient survival. To address this, a 3D gold nanogranule decorated gold-silver al...
Gold Metal Nanoparticles Silver Spectrum Analysis, Raman Diagnosis, Differential Alloys Humans Sepsis Biosensing Techniques Machine Learning
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Deep learning assisted prediction of osteogenic capability of orthopedic implant surfaces based on early cell morphology.

Acta biomaterialia Feb 1, 2025
The surface modification of titanium (Ti) and its alloys is crucial for improving their osteogenic capability, as their bio-inert nature limits effective osseointegration despite their prevalent use in orthopedic implants. However, these modification...
Animals Deep Learning Cell Differentiation Humans Alloys Osteogenesis Alkaline Phosphatase Surface Properties Titanium Prostheses and Implants
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MGT: Machine Learning Accelerates Performance Prediction of Alloy Catalytic Materials.

Journal of chemical information and modeling Dec 19, 2024
The application of deep learning technology in the field of materials science provides a new method for predicting the adsorption energy of high-performance alloy catalysts in hydrogen evolution reactions and material discovery. The activity and sele...
Hydrogen Alloys Adsorption Catalysis Machine Learning
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Bioinspired design and validation of a soft robotic end-effector with integrated shape memory alloy-driven suction capabilities.

Bioinspiration & biomimetics Dec 2, 2024
The exploration of adaptive robotic systems capable of performing complex tasks in unstructured environments, such as underwater salvage operations, presents a significant challenge. Traditional rigid grippers often struggle with adaptability, wherea...
Animals Robotics Biomechanical Phenomena Octopodiformes Shape Memory Alloys Suction Biomimetic Materials Alloys Equipment Design Biomimetics
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Tensile strength analysis of additively manufactured CM 247LC alloy specimen by employing machine learning classifiers.

PloS one Jul 29, 2024
Using a cutting-edge net-shape manufacturing technique called Additive Layer Manufacturing (ALM), highly complex components that are not achievable with conventional wrought and cast methods can be produced. As a result, the aerospace sector is payin...
Tensile Strength Alloys Nickel Materials Testing Machine Learning Algorithms
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Classification of e-waste using machine learning-assisted laser-induced breakdown spectroscopy.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA May 9, 2024
Waste management and the economy are intertwined in various ways. Adopting sustainable waste management techniques can contribute to economic growth and resource conservation. Artificial intelligence (AI)-based classification is very crucial for rapi...
Waste Management Aluminum Alloys Principal Component Analysis Electronic Waste Spectrum Analysis Machine Learning Lasers
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Woven Fabric Muscle for Soft Wearable Robotic Application Using Two-Dimensional Zigzag Shape Memory Alloy Actuator.

Soft robotics May 7, 2024
In this study, we propose a fabric muscle based on the Zigzag Shape Memory Alloy (ZSMA) actuator. Soft wearable robots have been gaining attention due to their flexibility and the ability to provide significant power support to the user without hinde...
Muscles Robotics Equipment Design Alloys Humans Wearable Electronic Devices
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