Marian, Max

Current Trends and Applications of Machine Learning in Tribology—A Review

Marian, M., & Tremmel, S. (2021) · Lubricants

Tribology and Lubrication EngineeringLubricants and Their Additives

Cited by 238

The Use of Artificial Intelligence in Tribology—A Perspective

Rosenkranz, A., Marian, M., Profito, F. J., Aragon, N., & Shah, R. (2020) · Lubricants

Tribology and Lubrication EngineeringLubricants and Their Additives

Cited by 187

Non-dimensional groups, film thickness equations and correction factors for elastohydrodynamic lubrication: A review

Marian, M., Bartz, M., Wartzack, S., & Rosenkranz, A. (2020) · Lubricants

Tribology and Lubrication EngineeringGear and Bearing Dynamics Analysis

Cited by 92

Designing surface textures for EHL point-contacts - Transient 3D simulations, meta-modeling and experimental validation

Marian, M., Grützmacher, P., Rosenkranz, A., Tremmel, S., Mücklich, F., & Wartzack, S. (2019) · Tribology International

Tribology and Lubrication EngineeringAdhesion, Friction, and Surface Interactions

Cited by 78

Predicting EHL film thickness parameters by machine learning approaches

Marian, M., Mursak, J., Bartz, M., Profito, F. J., Rosenkranz, A., & Wartzack, S. (2023) · Friction

Tribology and Lubrication EngineeringGear and Bearing Dynamics Analysis

Cited by 76

Geometrical Optimization of the EHL Roller Face/Rib Contact for Energy Efficiency in Tapered Roller Bearings

Wirsching, S., Marian, M., Bartz, M., Stahl, T., & Wartzack, S. (2021) · Lubricants

Tribology and Lubrication EngineeringGear and Bearing Dynamics Analysis

Cited by 25

Enhancing practical modeling: A neural network approach for locally-resolved prediction of elastohydrodynamic line contacts

Kelley, J., Schneider, V., Poll, G., & Marian, M. (2024) · Tribology International

Tribology and Lubrication EngineeringGear and Bearing Dynamics Analysis

Cited by 20