AIMC Topic: Materials Testing

Clear Filters Showing 31 to 40 of 91 articles

Vital signal sensing and manipulation of a microscale organ with a multifunctional soft gripper.

Science robotics Oct 13, 2021
Soft grippers that incorporate functional materials are important in the development of mechanically compliant and multifunctional interfaces for both sensing and stimulating soft objects and organisms. In particular, the capability for firm and deli...
Stress, Mechanical Pressure Biotechnology Materials Testing Biomimetics Calibration Biomedical Engineering Elastic Modulus Smart Materials Man-Machine Systems Nanowires Bioengineering Temperature Animals Snails Hand Strength Robotics Humans Equipment Design
View on PubMed DOI

Optimization of running-in surface morphology parameters based on the AutoML model.

PloS one Oct 4, 2021
Running-in is an important and relatively complicated process. The surface morphology prior to running-in affects the surface morphology following the running-in process, which in turn influences the friction and wear characteristics of the workpiece...
Friction Lubrication Computer Simulation Support Vector Machine Decision Trees Materials Testing Oils Surface Properties Machine Learning Forecasting
View on PubMed DOI

Deep learning enabled classification of real-time respiration signals acquired by MoSSe quantum dot-based flexible sensors.

Journal of materials chemistry. B Aug 16, 2021
Respiration rate is a vital parameter which is useful for the earlier identification of diseases. In this context, various types of devices have been fabricated and developed to monitor different breath rates. However, the disposability and biocompat...
Humans Deep Learning Monitoring, Physiologic Particle Size Quantum Dots Selenium Wearable Electronic Devices Time Factors Sulfur Molybdenum Breath Tests Materials Testing Biocompatible Materials
View on PubMed DOI

Evaluation of Mechanical Properties of Materials Based on Genetic Algorithm Optimizing BP Neural Network.

Computational intelligence and neuroscience Jul 19, 2021
In the 21 century, with the increasingly urgent requirements for lightweight in the fields of aviation, aerospace, and electronics, especially automobiles, many properties of magnesium alloy materials, especially the low-density performance character...
Materials Testing Tensile Strength Neural Networks, Computer Algorithms Magnesium
View on PubMed DOI

A Battery-Like Self-Selecting Biomemristor from Earth-Abundant Natural Biomaterials.

ACS applied bio materials Feb 2, 2021
Using the earth-abundant natural biomaterials to manufacture functional electronic devices meets the sustainable requirement of green electronics, especially for the practical application of memristors in data storage and neuromorphic computing. Howe...
Electric Power Supplies Electronics Materials Testing Biocompatible Materials Humans Neural Networks, Computer Density Functional Theory Anthocyanins
View on PubMed DOI

Identifying Optimal Strain in Bismuth Telluride Thermoelectric Film by Combinatorial Gradient Thermal Annealing and Machine Learning.

ACS combinatorial science Nov 4, 2020
The thermoelectric properties of bismuth telluride thin film (BTTF) was tuned by inducing internal strain through a combination of combinatorial gradient thermal annealing (COGTAN) and machine learning. BTTFs were synthesized via magnetron sputter co...
Machine Learning Tellurium Thermal Conductivity Materials Testing Bismuth Combinatorial Chemistry Techniques
View on PubMed DOI

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...
Microtechnology Robotics Surface Properties Immune Evasion Materials Testing Printing, Three-Dimensional Mechanical Phenomena Hydrogels
View on PubMed DOI

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...
Particle Size Metal-Organic Frameworks Porosity Machine Learning Data Science Materials Testing Surface Properties
View on PubMed DOI

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...
X-Ray Microtomography Humans Weight-Bearing Neural Networks, Computer Elastic Modulus Cancellous Bone Bone Density Fractures, Bone Materials Testing Stress, Mechanical
View on PubMed DOI

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...
Electronics Delivery of Health Care Humans Materials Testing Wearable Electronic Devices Surface Properties Artificial Intelligence Particle Size
View on PubMed DOI
Popular Topics
Recent Journals