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January 01, 2026 article Open access Aachen paper

Advancing ML-Based Thermal Hydrodynamic Lubrication: A Data-Free Physics-Informed Deep Learning Framework Solving Temperature-Dependent Lubricated Contact Simulations

Lubricants

DOI: 10.18154/rwth-2026-01151 Full text (OA) OpenAlex

Authors 4

  1. Faras Brumand‐Poor Aachen

    RWTH Aachen University

    Affiliation as printed

    RWTH Aachen

  2. Georg Michael Puntigam Aachen

    RWTH Aachen University

    Affiliation as printed

    RWTH Aachen

  3. Marius Hofmeister Aachen

    RWTH Aachen University

    Affiliation as printed

    RWTH Aachen

  4. Katharina Schmitz Aachen

    RWTH Aachen University

    Affiliation as printed

    RWTH Aachen

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