AIMC Topic: Metals

Clear Filters Showing 51 to 60 of 119 articles

A tripodal wheeled mobile robot driven by a liquid metal motor.

Lab on a chip May 17, 2022
As a novel driving concept, the liquid metal motor (LMM) has been regarded as a promising actuator due to its unique traits, such as infinitely variable speed, lack of transmission chain, convenient maintenance, and silence. However, at present, driv...
Robotics Cell Phone Metals
View on PubMed DOI

LM-Jelly: Liquid Metal Enabled Biomimetic Robotic Jellyfish.

Soft robotics Apr 29, 2022
Jellyfish have attracted worldwide attention owing to their fantastic moving styles, which also inspired development in soft robotics to meet the demands of underwater surveillance. In this study, a soft robotic jellyfish integrated liquid metal coil...
Swimming Hydrodynamics Robotics Biomimetics Animals Scyphozoa Metals
View on PubMed DOI

High relaxivity Gd-based organic nanoparticles for efficient magnetic resonance angiography.

Journal of nanobiotechnology Mar 31, 2022
Contrast-enhanced MR angiography (MRA) is a critical technique for vascular imaging. Nevertheless, the efficacy of MRA is often limited by the low rate of relaxation, short blood-circulation time, and metal ion-released potential long-term toxicity o...
Magnetic Resonance Angiography Metals Magnetic Resonance Imaging Nanoparticles Gadolinium
View on PubMed DOI

Comparative Analysis of Machine Learning Methods for Predicting Robotized Incremental Metal Sheet Forming Force.

Sensors (Basel, Switzerland) Dec 21, 2021
This paper proposes a method for extracting information from the parameters of a single point incremental forming (SPIF) process. The measurement of the forming force using this technology helps to avoid failures, identify optimal processes, and to i...
Mechanical Phenomena Friction Machine Learning Metals Neural Networks, Computer
View on PubMed DOI

Protein embeddings and deep learning predict binding residues for various ligand classes.

Scientific reports Dec 13, 2021
One important aspect of protein function is the binding of proteins to ligands, including small molecules, metal ions, and macromolecules such as DNA or RNA. Despite decades of experimental progress many binding sites remain obscure. Here, we propose...
Deep Learning Metals Software Molecular Docking Simulation Binding Sites Sequence Analysis, Protein Nucleic Acids Protein Conformation Protein Binding Ligands
View on PubMed DOI

Artificial Adaptive and Maladaptive Sensory Receptors Based on a Surface-Dominated Diffusive Memristor.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Nov 27, 2021
A biological receptor serves as sensory transduction from an external stimulus to an electrical signal. It allows humans to better match the environment by filtering out repetitive innocuous information and recognize potentially damaging stimuli thro...
Electric Conductivity Sensory Receptor Cells Receptors, Artificial Nanotechnology Electric Stimulation Oxides Equipment Design Neural Networks, Computer Metals
View on PubMed DOI

A Liquid Metal Artificial Muscle.

Advanced materials (Deerfield Beach, Fla.) Sep 12, 2021
Artificial muscles possess a vast potential in accelerating the development of robotics, exoskeletons, and prosthetics. Although a variety of emerging actuator technologies are reported, they suffer from several issues, such as high driving voltages,...
Animals Metals Biomimetic Materials Muscles Robotics Fishes Hydrogen-Ion Concentration Artificial Organs
View on PubMed DOI

Stimulus-driven liquid metal and liquid crystal network actuators for programmable soft robotics.

Materials horizons Aug 31, 2021
Sophisticated soft matter engineering has been endorsed as an emerging paradigm for developing untethered soft robots with built-in electronic functions and biomimetic adaptation capacities. However, the integration of flexible electronic components ...
Biomimetics Liquid Crystals Robotics Electronics Humans Metals
View on PubMed DOI

Prediction Model of Hot Metal Silicon Content Based on Improved GA-BPNN.

Computational intelligence and neuroscience Aug 17, 2021
The inconsistency of the detection period of blast furnace data and the large time delay of key parameters make the prediction of the hot metal silicon content face huge challenges. Aiming at the problem that the hot metal silicon content is not cons...
Neural Networks, Computer Metals Silicon
View on PubMed DOI

Human reliability analysis of high-temperature molten metal operation based on fuzzy CREAM and Bayesian network.

PloS one Aug 2, 2021
Human errors are considered to be the main causation factors of high-temperature molten metal accidents in metallurgical enterprises. The complex working environment of high- temperature molten metal in metallurgical enterprises has an important infl...
Metals Fuzzy Logic Humans Reproducibility of Results Probability Bayes Theorem Hot Temperature Accidents
View on PubMed DOI
Popular Topics
Recent Journals