AIMC Topic: Materials Testing

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Investigation of ANN architecture for predicting the compressive strength of concrete containing GGBFS.

PloS one Dec 3, 2021
An extensive simulation program is used in this study to discover the best ANN model for predicting the compressive strength of concrete containing Ground Granulated Blast Furnace Slag (GGBFS). To accomplish this purpose, an experimental database of ...
Monte Carlo Method Humans Compressive Strength Neural Networks, Computer Reproducibility of Results Construction Materials Materials Testing Industrial Waste
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Smart surgical sutures using soft artificial muscles.

Scientific reports Nov 17, 2021
Wound closure with surgical sutures is a critical challenge for flexible endoscopic surgeries. Substantial efforts have been introduced to develop functional and smart surgical sutures to either monitor wound conditions or ease the complexity of knot...
Endoscopy Robotics Sutures Animals Needles Materials Testing Suture Anchors Colon Stomach Muscles Tensile Strength Swine Suture Techniques Wound Closure Techniques
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Optically Modulated HfS-Based Synapses for Artificial Vision Systems.

ACS applied materials & interfaces Oct 18, 2021
The simulation of human brain neurons by synaptic devices could be an effective strategy to break through the notorious "von Neumann Bottleneck" and "Memory Wall". Herein, opto-electronic synapses based on layered hafnium disulfide (HfS) transistors ...
Synapses Disulfides Biomimetic Materials Hafnium Machine Learning Light Humans Materials Testing Neural Networks, Computer
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Smart Bioinspired Actuators: Crawling, Linear, and Bending Motions through a Multilayer Design.

ACS applied materials & interfaces Oct 16, 2021
To fulfill the insatiable demand for wearable technologies, ionic electroactive polymer actuators have been entrenched as promising candidates that can convert low-input-voltage energy into high mechanical throughput. However, a ubiquitous trilayer d...
Biomimetic Materials Polymers Kinetics Materials Testing Humans Robotics
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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...
Humans Temperature Robotics Equipment Design Materials Testing Animals Snails Hand Strength Pressure Biomimetics Biotechnology Calibration Man-Machine Systems Elastic Modulus Stress, Mechanical Nanowires Smart Materials Bioengineering Biomedical Engineering
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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...
Forecasting Computer Simulation Support Vector Machine Machine Learning Surface Properties Decision Trees Friction Materials Testing Lubrication Oils
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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...
Breath Tests Monitoring, Physiologic Particle Size Quantum Dots Biocompatible Materials Sulfur Molybdenum Materials Testing Selenium Humans Wearable Electronic Devices Deep Learning Time Factors
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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
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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...
Neural Networks, Computer Density Functional Theory Anthocyanins Electronics Materials Testing Biocompatible Materials Humans Electric Power Supplies
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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...
Bismuth Machine Learning Combinatorial Chemistry Techniques Tellurium Thermal Conductivity Materials Testing
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