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Perspective: Machine learning in experimental solid mechanics

Neal R. Brodnik, C. Muir, N. Tulshibagwale, Jeff Rossin, McLean P. Echlin, Craig M. Hamel, Sharlotte Kramer, Tresa M. Pollock, James D. Kiser, Christian W. Smith, Samantha Daly

2023Journal of the Mechanics and Physics of Solids63 citationsDOIOpen Access PDF

Topics & Concepts

ExtensibilityComputer sciencePerspective (graphical)TrustworthinessScope (computer science)Benchmark (surveying)Process (computing)Statistical mechanicsExperimental dataArtificial intelligenceData scienceMachine learningStatistical physicsMathematicsPhysicsGeodesyStatisticsComputer securityOperating systemProgramming languageGeographyMachine Learning in Materials ScienceUltrasonics and Acoustic Wave PropagationHydrogen embrittlement and corrosion behaviors in metals
Perspective: Machine learning in experimental solid mechanics | Litcius