AIMC Topic: Copper

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Cuprous oxide coated silver/graphitic carbon nitride/cadmium sulfide nanocomposite heterostructure: Specific recognition of carcinoembryonic antigen through sandwich-type mechanism.

Journal of colloid and interface science Nov 22, 2021
The development of the effective diagnostic method for the determination of cancer biomarkers is one of the most promising strategies for early clinical diagnosis of cancer. Here, based on the preparation of heterogeneous cuprous oxide coated silver ...
Nanocomposites Nitrogen Compounds Carcinoembryonic Antigen Biosensing Techniques Cadmium Copper Graphite Electrochemical Techniques Sulfides Silver Limit of Detection Immunoassay Cadmium Compounds
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Genetic dissection of complex traits using hierarchical biological knowledge.

PLoS computational biology Sep 17, 2021
Despite the growing constellation of genetic loci linked to common traits, these loci have yet to account for most heritable variation, and most act through poorly understood mechanisms. Recent machine learning (ML) systems have used hierarchical bio...
Copper Chromosome Mapping Knowledge Bases Mutation Multifactorial Inheritance Saccharomyces cerevisiae Neural Networks, Computer Glucose Benomyl Computational Biology Gene Ontology Machine Learning Glycine Nucleotidyltransferases Systems Biology Hydroxyurea Phenotype Models, Genetic Genome-Wide Association Study Metabolic Networks and Pathways Polymorphism, Single Nucleotide
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Diagnosis of Wilson Disease and Its Phenotypes by Using Artificial Intelligence.

Biomolecules Aug 20, 2021
WD is caused by variants disrupting copper efflux resulting in excessive copper accumulation mainly in liver and brain. The diagnosis of WD is challenged by its variable clinical course, onset, morbidity, and variant type. Currently it is diagnosed...
Humans Neural Networks, Computer Artificial Intelligence Adult Male Middle Aged Diagnosis, Computer-Assisted Algorithms Phenotype Brain Female Copper-Transporting ATPases Hepatolenticular Degeneration Ceruloplasmin Mutation DNA, Mitochondrial Medical Informatics Glutamic Acid Fuzzy Logic Liver Principal Component Analysis Copper
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Spin-Orbit Torque-Induced Domain Nucleation for Neuromorphic Computing.

Advanced materials (Deerfield Beach, Fla.) Jul 24, 2021
Neuromorphic computing has become an increasingly popular approach for artificial intelligence because it can perform cognitive tasks more efficiently than conventional computers. However, it remains challenging to develop dedicated hardware for arti...
Torque Copper Platinum Neurons Cobalt Neural Networks, Computer Algorithms Computer Simulation Deep Learning Computer Systems
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Controllable high-performance memristors based on 2D FeGeTeoxide for biological synapse imitation.

Nanotechnology May 19, 2021
Memristors are an important component of the next-generation artificial neural network, high computing systems, etc. In the past, two-dimensional materials based memristors have achieved a high performance and low power consumption, though one at the...
Synaptic Transmission Electric Conductivity Germanium Tellurium Electronics Synapses Biomimetic Materials Oxidation-Reduction Oxides Iron Copper Humans Neural Networks, Computer Animals
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Prediction of copper ions adsorption by attapulgite adsorbent using tuned-artificial intelligence model.

Chemosphere Mar 4, 2021
Copper (Cu) ion in wastewater is considered as one of the crucial hazardous elements to be quantified. This research is established to predict copper ions adsorption (Ad) by Attapulgite clay from aqueous solutions using computer-aided models. Three a...
Adsorption Copper Ions Magnesium Compounds Artificial Intelligence Silicon Compounds
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Doping-Induced Charge Localization Suppresses Electron-Hole Recombination in Copper Zinc Tin Sulfide: Quantum Dynamics Combined with Deep Neural Networks Analysis.

The journal of physical chemistry letters Jan 8, 2021
Nonradiative electron-hole recombination constitutes a major route for charge and energy losses in copper zinc tin sulfide (CZTS) solar cells. Using a combination of nonadiabatic (NA) molecular dynamics and deep neural networks (DNN), we demonstrated...
Neural Networks, Computer Sulfides Solar Energy Tin Compounds Zinc Copper Quantum Theory Electrons
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Label-Free Detection of Based on Bacteria-Imprinted Polymer and Turn-on Fluorescence Probes.

ACS applied bio materials Dec 15, 2020
The effective identification and quantitative determination of is a major public health concern. Here, an innovative strategy that combines a bacteria-imprinted polydimethylsiloxane film for bacterial recognition and fluorescence resonance energy tr...
Meat Copper Staphylococcus aureus Animals Dimethylpolysiloxanes Fluorescent Dyes Gold Swine Fluorescence Resonance Energy Transfer Metal Nanoparticles Citric Acid Molecularly Imprinted Polymers Limit of Detection
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Efficient Machine-Learning-Aided Screening of Hydrogen Adsorption on Bimetallic Nanoclusters.

ACS combinatorial science Nov 4, 2020
Nanoclusters add an additional dimension in which to look for promising catalyst candidates, since catalytic activity of materials often changes at the nanoscale. However, the large search space of relevant atomic sites exacerbates the challenge for ...
Nanoparticles Adsorption Density Functional Theory Copper Cobalt Hydrogen Thermodynamics Machine Learning
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Modeling of Cu(II) Adsorption from an Aqueous Solution Using an Artificial Neural Network (ANN).

Molecules (Basel, Switzerland) Jul 17, 2020
This research optimized the adsorption performance of rice husk char (RHC4) for copper (Cu(II)) from an aqueous solution. Various physicochemical analyses such as Fourier transform infrared spectroscopy (FTIR), field-emission scanning electron micros...
Sulfur Solutions Thermodynamics Models, Molecular Copper Kinetics Diffusion Algorithms Water Water Pollutants, Chemical Adsorption Neural Networks, Computer
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