Robotics & Machine Learning Daily News2024,Issue(Oct.11) :90-91.

Data on Nanoindentation Discussed by Researchers at University of North Texas (D eciphering Mechanical Heterogeneity of Additively Manufactured Martensitic Steel Using High Throughput Nanoindentation Combined With Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Oct.11) :90-91.

Data on Nanoindentation Discussed by Researchers at University of North Texas (D eciphering Mechanical Heterogeneity of Additively Manufactured Martensitic Steel Using High Throughput Nanoindentation Combined With Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in Nanotechnology - N anoindentation. According to news reporting from Denton, Texas, by NewsRx journa lists, research stated, “Microstructures of additively manufactured (AM) materia ls are highly heterogeneous, periodic, and hierarchical at various length scales , leading to complex mechanical response. In this study, nanoindentation trend a nalysis combined with machine learning (ML) was used to unravel the hierarchical and heterogeneous microstructures and associated multiscale mechanical response s in a laser-directed energy deposited low-alloy martensitic steel.” Funders for this research include Army Research Laboratory, USA, University of N orth Texas.

Key words

Denton/Texas/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Nanoindent/N anoindentation/Nanotechnology/University of North Texas

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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