AIMC Topic: Temperature

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ColGen: An end-to-end deep learning model to predict thermal stability of de novo collagen sequences.

Journal of the mechanical behavior of biomedical materials Oct 31, 2021
Collagen is the most abundant structural protein in humans, with dozens of sequence variants accounting for over 30% of the protein in an animal body. The fibrillar and hierarchical arrangements of collagen are critical in providing mechanical proper...
Biocompatible Materials Collagen Deep Learning Wound Healing Temperature Animals Humans
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Enhanced precision of real-time control photothermal therapy using cost-effective infrared sensor array and artificial neural network.

Computers in biology and medicine Oct 29, 2021
Photothermal therapy (PTT) requires tight thermal dose control to achieve tumor ablation with minimal thermal injury on surrounding healthy tissues. In this study, we proposed a real-time closed-loop system for monitoring and controlling the temperat...
Temperature Neural Networks, Computer Fuzzy Logic Cost-Benefit Analysis Photothermal Therapy
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Data-driven method based on deep learning algorithm for detecting fat, oil, and grease (FOG) of sewer networks in urban commercial areas.

Water research Oct 25, 2021
The content of fat, oil and grease (FOG) in the sewer network sediments is the key indicator for diagnosing sewer blockage and overflow. However, the traditional FOG detection is time-consuming and costly, and the establishment of mathematical models...
Fats Temperature Deep Learning Sewage Hydrocarbons
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Random Forest Predictor for Diblock Copolymer Phase Behavior.

ACS macro letters Oct 14, 2021
Physics-based models are the primary approach for modeling the phase behavior of block copolymers. However, the successful use of self-consistent field theory (SCFT) for designing new materials relies on the correct chemistry- and temperature-depende...
Temperature Polymers
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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 Biotechnology Man-Machine Systems Equipment Design Stress, Mechanical Hand Strength Materials Testing Pressure Robotics Biomedical Engineering Nanowires Animals Biomimetics Elastic Modulus Bioengineering Snails Calibration Smart Materials
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Digital Twins of the Water Cooling System in a Power Plant Based on Fuzzy Logic.

Sensors (Basel, Switzerland) Oct 11, 2021
In the search for increased productivity and efficiency in the industrial sector, a new industrial revolution, called Industry 4.0, was promoted. In the electric sector, power plants seek to adapt these new concepts to optimize electric power generat...
Temperature Water Algorithms Fuzzy Logic Power Plants
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Highly Dense FBG Temperature Sensor Assisted with Deep Learning Algorithms.

Sensors (Basel, Switzerland) Sep 15, 2021
In this paper, we demonstrate the application of deep neural networks (DNNs) for processing the reflectance spectrum from a fiberoptic temperature sensor composed of densely inscribed fiber bragg gratings (FBG). Such sensors are commonly avoided in p...
Fiber Optic Technology Calibration Temperature Deep Learning Algorithms
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Exploring the Predictability of Temperatures in a Scaled Model of a Smarthome.

Sensors (Basel, Switzerland) Sep 9, 2021
In modern smarthomes, temperature regulation is achieved through a mix of traditional and emergent technologies including air conditioning, heating, intelligent utilization of the effects of sun, wind, and shade as well as using stored heat and cold....
Machine Learning Algorithms Temperature Heating Air Conditioning
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Differentiable molecular simulation can learn all the parameters in a coarse-grained force field for proteins.

PloS one Sep 2, 2021
Finding optimal parameters for force fields used in molecular simulation is a challenging and time-consuming task, partly due to the difficulty of tuning multiple parameters at once. Automatic differentiation presents a general solution: run a simula...
Nuclear Energy Proteins Molecular Dynamics Simulation Protein Conformation, alpha-Helical Crystallization Temperature Protein Conformation, beta-Strand Protein Structure, Tertiary Deep Learning
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Reversible Curvature Reversal of Monolithic Liquid Crystal Elastomer Film and Its Smart Valve Application.

Macromolecular rapid communications Aug 30, 2021
Beyond a traditional stimuli-responsive soft actuator that shows a single motion by a stimulus, multidirectional actuation reversal with a single stimulus is highly required in applications such as shape morphing sensors and soft robotics. Liquid cry...
Liquid Crystals Robotics Elastomers Temperature
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