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    Deconstructing Triboinformatics: A Conceptual Framework for the Intersection of Machine Learning and Tribology 

    Source: Journal of Tribology:;2026:;volume( 148 ):;issue:009:;page 1
    Author(s): Kordijazi, Amir
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. Tribology has traditionally functioned as an empirical discipline, heavily reliant on physical experimentation rather than unified first principles. To address the resulting epistemic bottlenecks, the paradigm ...
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