Machine Learning (ML) is a well‐known paradigm that refers to the ability of systems to learn a specific task from the data and aims to develop computer algorithms that improve with experience.
Results for "fusion"
Quantitative Systems Models Illuminate Arrhythmia Mechanisms in Heart Failure
Quantitative systems modeling aims to integrate knowledge in different research areas with models describing biological mechanisms and dynamics to gain a better understanding of complex clinical syndromes.
Pressurized Gyration for the Mass Production of Polymeric Fibers
Pressurized gyration is a simple and scalable fiber forming method, find out more about its maturation 5 years after its conception.
Simulating Complex Systems: Agent-based Modeling in Molecular Systems Biology
Mohammad Soheilypour and Mohammad Mofrad discuss a technique termed ‘agent-based modeling’ that is used in systems biology.
Controlled Homoepitaxial Growth of Hybrid Perovskites
A robust and efficient protocol involving microfabrication that enables the integration of an emerging class of materials into modern electronic devices.
Metallic Molybdenum Disulfide for Stable, High-Rate Battery Performance
A new porous nanotube structure is created from pure metallic molybdenum disulfide, which is useful for fundamental electrochemical studies as well as showing good performance as a lithium-ion battery anode.
Joining of Metal Based Hybrid Materials
In this review broad “joining” processes of dissimilar metallic materials by both experimental and modeling approaches are summarized.
Engineering Digest: Featuring Shape Memory Elastomers, Textures, and More
This month’s Advanced Engineering Materials covers and top papers!
Invader Cells as Delivery Vesicles for Various Cargo Molecules
A smart cell-targeting approach for potential use in specific cell ablation.
Selective Emitter Formation by Laser Doping
new concept of attaching a second deposition step at the end of a BBr3 diffusion is introduced.
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