AIMC Topic: Materials Testing
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Development of predictive algorithms for the wear resistance of denture teeth materials.
Journal of the mechanical behavior of biomedical materials
Jun 25, 2023
OBJECTIVES: To investigate the wear resistance of conventional, CAD-milled and 3D-printed denture teeth in vitro with simulated aging. To use the collected data to train single time series sample model LSTM and provide proof of concept.
Using artificial intelligence to predict the final color of leucite-reinforced ceramic restorations.
Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.]
Jan 2, 2023
OBJECTIVES: The aim of this study was to evaluate the accuracy of machine learning regression models in predicting the final color of leucite-reinforced glass CAD/CAM ceramic veneer restorations based on substrate shade, ceramic shade, thickness and ...
Prediction of abrasive wears behavior of dental composites using an artificial neural network.
Computer methods in biomechanics and biomedical engineering
Jun 8, 2022
Resin composites are widely used as dental restorative materials since dental parts are subjected to prolonged wear and ultimately need to be replaced. The objective of this study is to analyze the potential of the feed-forward back propagation artif...
Hepatic enzymes and immunoinflammatory response to Bio-C Temp bioceramic intracanal medication implanted into the subcutaneous tissue of rats.
Scientific reports
Feb 18, 2022
Our purpose was to evaluate the biocompatibility and hepatotoxicity of a new bioceramic intracanal medicament, Bio-C Temp (BIO). The biological properties of BIO were compared with calcium hydroxide-based intracanal medicament (Calen; CAL), used as g...
From Drug Molecules to Thermoset Shape Memory Polymers: A Machine Learning Approach.
ACS applied materials & interfaces
Dec 8, 2021
Ultraviolet (UV)-curable thermoset shape memory polymers (TSMPs) with high recovery stress but mild glass transition temperature () are highly desired for 3D/4D printing lightweight load-bearing structures and devices. However, a bottleneck is that h...
Activating Silent Synapses in Sulfurized Indium Selenide for Neuromorphic Computing.
ACS applied materials & interfaces
Dec 8, 2021
The transformation from silent to functional synapses is accompanied by the evolutionary process of human brain development and is essential to hardware implementation of the evolutionary artificial neural network but remains a challenge for mimickin...
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 ...
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...
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 ...
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...
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