AIMC Topic: Nanostructures

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A concise review: the synergy between artificial intelligence and biomedical nanomaterials that empowers nanomedicine.

Biomedical materials (Bristol, England) Aug 5, 2021
Nanomedicine has recently experienced unprecedented growth and development. However, the complexity of operations at the nanoscale introduces a layer of difficulty in the clinical translation of nanodrugs and biomedical nanotechnology. This problem i...
Neoplasms Mice Algorithms Animals Biocompatible Materials Nanomedicine Theranostic Nanomedicine Diabetes Mellitus, Type 1 Nanostructures Humans Artificial Intelligence
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An adaptive threshold neuron for recurrent spiking neural networks with nanodevice hardware implementation.

Nature communications Jul 9, 2021
We propose a Double EXponential Adaptive Threshold (DEXAT) neuron model that improves the performance of neuromorphic Recurrent Spiking Neural Networks (RSNNs) by providing faster convergence, higher accuracy and a flexible long short-term memory. We...
Humans Neural Networks, Computer Datasets as Topic Speech Recognition Software Neurons Computers Nanostructures Models, Neurological
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Robotics for enzyme technology: innovations and technological perspectives.

Applied microbiology and biotechnology May 10, 2021
The use of robotics in the life science sector has created a considerable and significant impact on a wide range of research areas, including enzyme technology due to their immense applications in enzyme and microbial engineering as an indispensable ...
Robotics Nanostructures Drug Delivery Systems Nanotechnology Biotechnology
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Autonomous Construction of Phase Diagrams of Block Copolymers by Theory-Assisted Active Machine Learning.

ACS macro letters Apr 27, 2021
Equilibrium phase diagrams serve as blueprints for rational design of nanostructured materials of block copolymers, but their construction is time-consuming and requires profound expertise. Herein, by virtue of the knowledge of self-consistent field ...
Supervised Machine Learning Nanostructures Humans Polymers
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Beyond Tripeptides Two-Step Active Machine Learning for Very Large Data sets.

Journal of chemical theory and computation Apr 27, 2021
Self-assembling peptide nanostructures have been shown to be of great importance in nature and have presented many promising applications, for example, in medicine as drug-delivery vehicles, biosensors, and antivirals. Being very promising candidates...
Computational Chemistry Programming Languages Datasets as Topic Oligopeptides Protein Conformation Supervised Machine Learning Nanostructures Algorithms
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The capabilities of nanoelectronic 2-D materials for bio-inspired computing and drug delivery indicate their significance in modern drug design.

Life sciences Feb 22, 2021
Remarkable advancements in the computational techniques and nanoelectronics have attracted considerable interests for development of highly-sophisticated materials (Ms) including the theranostics with optimal characteristics and innovative delivery s...
Humans Artificial Intelligence Drug Delivery Systems Drug Design Biomimetics Electronics Nanostructures
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Machine learning predictions of concentration-specific aggregate hazard scores of inorganic nanomaterials in embryonic zebrafish.

Nanotoxicology Feb 15, 2021
The possibility of employing computational approaches like nano-QSAR or nano-read-across to predict nanomaterial hazard is attractive from both a financial, and most importantly, where in vivo tests are required, ethical perspective. In the present w...
Nanostructures Animals Metal Nanoparticles Oxides Zebrafish Machine Learning
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Self-assembled Janus plasmene nanosheets as flexible 2D photocatalysts.

Materials horizons Nov 16, 2020
A leaf is a free-standing photocatalytic system that can effectively harvest solar energy and convert CO and HO into carbohydrates in a continuous manner without the need for regeneration or tedious product extraction steps. Despite encouraging advan...
Nanoparticles Nanostructures Solar Energy Catalysis Hydrophobic and Hydrophilic Interactions
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Knowledge gaps in immune response and immunotherapy involving nanomaterials: Databases and artificial intelligence for material design.

Biomaterials Oct 19, 2020
Exploring the interactions between the immune system and nanomaterials (NMs) is critical for designing effective and safe NMs, but large knowledge gaps remain to be filled prior to clinical applications (e.g., immunotherapy). The lack of databases on...
Immunity Nanostructures Artificial Intelligence Immunotherapy
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Robotic DNA Nanostructures.

ACS synthetic biology Jul 12, 2020
Over the past decade, DNA nanotechnology has spawned a broad variety of functional nanostructures tailored toward the enabled state at which applications are coming increasingly in view. One of the branches of these applications is in synthetic biolo...
Drug Carriers Robotics Biosensing Techniques Nanotechnology Nanomedicine DNA Nanostructures
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