AIMC Topic: Materials Testing

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Zwitterionic 3D-Printed Non-Immunogenic Stealth Microrobots.

Advanced materials (Deerfield Beach, Fla.) Aug 30, 2020
Microrobots offer transformative solutions for non-invasive medical interventions due to their small size and untethered operation inside the human body. However, they must face the immune system as a natural protection mechanism against foreign thre...
Printing, Three-Dimensional Robotics Surface Properties Mechanical Phenomena Immune Evasion Materials Testing Hydrogels Microtechnology
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Big-Data Science in Porous Materials: Materials Genomics and Machine Learning.

Chemical reviews Jun 10, 2020
By combining metal nodes with organic linkers we can potentially synthesize millions of possible metal-organic frameworks (MOFs). The fact that we have so many materials opens many exciting avenues but also create new challenges. We simply have too m...
Surface Properties Metal-Organic Frameworks Porosity Materials Testing Machine Learning Data Science Particle Size
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Parametric investigation of the effects of load level on fatigue crack growth in trabecular bone based on artificial neural network computation.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine May 21, 2020
This study reports the development of an artificial neural network computation model to predict the accumulation of crack density and crack length in cancellous bone under a cyclic load. The model was then applied to conduct a parametric investigatio...
Humans Neural Networks, Computer Weight-Bearing Materials Testing Elastic Modulus Cancellous Bone Stress, Mechanical X-Ray Microtomography Bone Density Fractures, Bone
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A review of electronic skin: soft electronics and sensors for human health.

Journal of materials chemistry. B Jan 16, 2020
This article reviews several categories of electronic skins (e-skins) for monitoring signals involved in human health. It covers advanced candidate materials, compositions, structures, and integrate strategies of e-skin, focusing on stretchable and w...
Artificial Intelligence Delivery of Health Care Wearable Electronic Devices Humans Surface Properties Particle Size Electronics Materials Testing
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A novel machine learning based computational framework for homogenization of heterogeneous soft materials: application to liver tissue.

Biomechanics and modeling in mechanobiology Dec 10, 2019
Real-time simulation of organs increases comfort and safety for patients during the surgery. Proper generalized decomposition (PGD) is an efficient numerical method with coordinate errors below 1 mm and response time below 0.1 s that can be used for ...
Anisotropy Materials Testing Nonlinear Dynamics Stress, Mechanical Elasticity Finite Element Analysis Models, Cardiovascular Imaging, Three-Dimensional Liver Animals Humans Models, Biological Swine Neural Networks, Computer Machine Learning Algorithms Computer Simulation
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Predicting degradation rate of genipin cross-linked gelatin scaffolds with machine learning.

Materials science & engineering. C, Materials for biological applications Oct 24, 2019
Genipin can improve weak mechanical properties and control high degradation rate of gelatin, as a cross-linker of gelatin which is widely used in tissue engineering. In this study, genipin cross-linked gelatin biodegradable porous scaffolds with diff...
Neural Networks, Computer Machine Learning Models, Theoretical Cross-Linking Reagents Tissue Scaffolds Iridoids Regression Analysis Gelatin Materials Testing Microscopy, Electron, Scanning
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Prediction of formation force during single-point incremental sheet metal forming using artificial intelligence techniques.

PloS one Aug 22, 2019
Single-point incremental forming (SPIF) is a technology that allows incremental manufacturing of complex parts from a flat sheet using simple tools; further, this technology is flexible and economical. Measuring the forming force using this technolog...
Materials Testing Alloys Computer-Aided Design Humans Manufacturing Industry Neural Networks, Computer Aluminum Fuzzy Logic
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Magnetically Actuated Heterogeneous Microcapsule-Robot for the Construction of 3D Bioartificial Architectures.

ACS applied materials & interfaces Jul 12, 2019
Core-shell microcapsules as one type of the most attractive carriers and reactors have been widely applied in the fields of drug screening and tissue engineering owing to their excellent biocompatibility and semi-permeability. Yet, the spatial organi...
Permeability Capsules Magnetic Fields Animals Cell Line Robotics Materials Testing Mice Nanoparticles
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Machine learning for the prediction of sunscreen sun protection factor and protection grade of UVA.

Experimental dermatology Jun 6, 2019
We report a prediction model for sunscreen sun protection factor (SPF) and protection grade of ultraviolet (UV) A (PA) based on machine learning. We illustrate with real clinical test results of UV protection ability of sunscreen for SPF and PA. With...
Reproducibility of Results Decision Trees Titanium Humans Sunscreening Agents Skin Machine Learning Sun Protection Factor Ultraviolet Rays Materials Testing
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Large-area, high-resolution characterisation and classification of damage mechanisms in dual-phase steel using deep learning.

PloS one May 8, 2019
High performance materials, from natural bone over ancient damascene steel to modern superalloys, typically possess a complex structure at the microscale. Their properties exceed those of the individual components and their knowledge-based improvemen...
Deep Learning Materials Testing Steel
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