Multi-target machine learning for predicting mechanical properties of FDM-printed polymer components
Additive Manufacturing (AM), commonly known as 3D printing, is an innovative manufacturing method that produces components layer by layer based on a computer-aided design (CAD) model 1. This ...
Developing polymer composites that simultaneously achieve high strength, toughness, and impact resistance remains a fundamental challenge due to inherent trade-offs and brittle interfacial failure.
Researchers reveal new method for calculating mechanical properties of solids using machine learning
A research team from Skoltech introduced a new method that takes advantage of machine learning for studying the properties of polycrystals, composites, and multiphase systems. It attained high ...
Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...
Mechanical metamaterials are sophisticated artificial structures with mechanical properties that are driven by their structure, rather than their composition. While these structures have proved to be ...
Adhesive materials are a key part our everyday life. Whether it’s in bioimplants, sealing incisions made during surgery, or cements for structural fastening, these materials are crucial throughout the ...
In the past decade, advances in algorithms, computer architecture and processing power have led to giant strides in the development of computers that are capable to learn by themselves how to solve a ...
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