AIMC Topic: Materials Testing

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Quantification of loading in biomechanical testing: the influence of dissection sequence.

Journal of biomechanics Jun 26, 2015
Sequential dissection is a technique used to investigate loads experienced by articular tissues. When the joint of interest is tested in an unconstrained manner, its kinematics change with each tissue removal. To address this limitation, sufficiently...
Weight-Bearing Mechanical Phenomena Movement Biomechanical Phenomena Printing, Three-Dimensional Robotics Rotation Materials Testing
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In vitro evaluation of accuracy and precision of automated robotic tooth preparation system for porcelain laminate veneers.

The Journal of prosthetic dentistry May 5, 2015
STATEMENT OF PROBLEM: Controlling tooth reduction for porcelain laminate veneers (PLVs) in fractions of millimeters is challenging.
Computer-Aided Design Imaging, Three-Dimensional Robotics Materials Testing Lasers Therapy, Computer-Assisted Tooth Preparation, Prosthodontic Incisor Dental Porcelain Dental High-Speed Equipment Dental Veneers Models, Dental
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Corrugated paraffin nanocomposite films as large stroke thermal actuators and self-activating thermal interfaces.

ACS applied materials & interfaces Apr 9, 2015
High performance active materials are of rapidly growing interest for applications including soft robotics, microfluidic systems, and morphing composites. In particular, paraffin wax has been used to actuate miniature pumps, solenoid valves, and comp...
Equipment Failure Analysis Transducers Paraffin Hot Temperature Membranes, Artificial Materials Testing Nanotechnology Robotics Nanotubes, Carbon Equipment Design Nanocomposites
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Multicomponent signal unmixing from nanoheterostructures: overcoming the traditional challenges of nanoscale X-ray analysis via machine learning.

Nano letters Mar 17, 2015
The chemical composition of core-shell nanoparticle clusters have been determined through principal component analysis (PCA) and independent component analysis (ICA) of an energy-dispersive X-ray (EDX) spectrum image (SI) acquired in a scanning trans...
Pattern Recognition, Automated X-Ray Diffraction Microscopy, Electron, Transmission Materials Testing Image Interpretation, Computer-Assisted Machine Learning Imaging, Three-Dimensional Magnetite Nanoparticles
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Mechanical characterization of bone anchors used with a bone-attached, parallel robot for skull surgery.

Medical engineering & physics Mar 11, 2015
Bone-attached robots and microstereotactic frames, intended for deep brain stimulation and minimally invasive cochlear implantation, typically attach to a patient's skull via bone anchors. A rigid and reliable link between such devices and the skull ...
Biomimetic Materials Equipment Design Humans Suture Anchors Models, Biological Robotics Skull Materials Testing
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A machine learning model exploring creep performance of dental composites.

Dental materials : official publication of the Academy of Dental Materials Jul 1, 2025
OBJECTIVES: Viscoelastic creep behaviour of RBCs determines their dimensional stability and thus contributes to their clinical performance. However, due to complex material compositional variations and differing testing protocols, comparing and analy...
Dental Materials Machine Learning Composite Resins Materials Testing Elasticity Viscosity
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A Modular, Mechanical Knee Model for the Development and Validation of Robotic Testing Methodologies.

Journal of biomechanical engineering Jul 1, 2025
Six-degree-of-freedom robotic testing is used to gain insight into knee function by measuring the biomechanics of cadaveric knees. However, it can be challenging to use cadaveric knees to validate robotic testing methodologies and to compare methodol...
Biomechanical Phenomena Robotics Knee Joint Humans Mechanical Phenomena Knee Mechanical Tests Models, Biological Cadaver Materials Testing
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Identification and Classification of Functional Split G-Quadruplexes Using Machine Learning-Guided Activity Screening.

ACS applied bio materials Jun 16, 2025
Split G-quadruplexes are considered excellent tools for biosensing and diagnostics, but splitting G-quadruplexes may often lead to a loss of function, limiting their effectiveness. This study aims to identify and classify functional split G-quadruple...
G-Quadruplexes Materials Testing Biocompatible Materials DNA, Catalytic Machine Learning Particle Size
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Comparative analysis of deep learning models for predicting biocompatibility in tissue scaffold images.

Computers in biology and medicine Jun 1, 2025
MOTIVATION: Bioprinting enables the creation of complex tissue scaffolds, which are vital for tissue engineering. However, predicting scaffold biocompatibility before fabrication remains a critical challenge, potentially leading to inefficiencies and...
Humans Neural Networks, Computer Biocompatible Materials Tissue Engineering Tissue Scaffolds Deep Learning Image Processing, Computer-Assisted Materials Testing
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Machine-Learning Framework to Predict the Performance of Lipid Nanoparticles for Nucleic Acid Delivery.

ACS applied bio materials May 19, 2025
Lipid nanoparticles (LNPs) are highly effective carriers for gene therapies, including mRNA and siRNA delivery, due to their ability to transport nucleic acids across biological membranes, low cytotoxicity, improved pharmacokinetics, and scalability....
Quantitative Structure-Activity Relationship Surface Properties Nucleic Acids Nanoparticles Cell Survival Particle Size Lipids Materials Testing Biocompatible Materials Humans Machine Learning
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