首页|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)
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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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.
DentonTexasUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningNanoindentN anoindentationNanotechnologyUniversity of North Texas
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