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Max Marian

email max.marian@uc.cl

Keywords from publications:
Machine Learning Wear Biotribology Additive Manufacturing Mxenes Friction Ver más...

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Max Marian es profesor asistente de mecánica de ingeniería multiescala en el Departamento de Mecánica y Metalurgia de la Pontificia Universidad Católica de Chile. Su investigación se enfoca en la eficiencia energética y sustentabilidad a través de la tribología, con énfasis en la modificación de superficies a través de micro-texturas y recubrimientos (carbono como diamante, disulfuro de molibdeno, MXenes). Aparte de los elementos de máquinas y componentes de motores, extendió sus áreas a la biotribología (articulaciones artificiales) y los nanogeneradores triboeléctricos. Su investigación está especialmente relacionada con el desarrollo de métodos numéricos de simulación multiescala y de machine learning. Ha publicado más de 40 artículos en revistas y forma parte del comité editorial del Frontiers in Chemistry Nanoscience, Industrial Lubrication and Tribology, Lubricants y Tribology - Materials, Surfaces & Interfaces. Además, es miembro de la Society of Tribologists and Lubrication Engineers (STLE) y la German Society for Tribology (GfT).

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Keywords from publications

Title Year Doi
Evaluation of DLC, MoS2, and Ti3C2Tx thin films for triboelectric nanogenerators 2022 https://doi.org/10.1016/j.nanoen.2022.107185
Combining surface textures and MXene coatings-towards enhanced wear-resistance and durability 2022 https://doi.org/10.1088/2051-672X/ac7f4a
Layered 2D Nanomaterials to Tailor Friction and Wear in Machine Elements-A Review 2022 https://doi.org/10.1002/admi.202101622
Predicting EHL film thickness parameters by machine learning approaches 2022 https://doi.org/10.1007/s40544-022-0641-6
Machine Learning in Tribology-More than Buzzwords? 2022 https://doi.org/10.3390/lubricants10040068
Numerical micro-texture optimization for lubricated contacts-A critical discussion 2022 https://doi.org/10.1007/s40544-022-0609-6
A Semantic Annotation Pipeline towards the Generation of Knowledge Graphs in Tribology 2022 https://doi.org/10.3390/lubricants10020018
Experimental investigation of friction in compliant contact: The effect of configuration, viscoelasticity and operating conditions 2022 https://doi.org/10.1016/j.triboint.2021.107340
Correlating wine astringency with physical measures - Current knowledge and future directions 2021 https://doi.org/10.1016/j.cis.2021.102520
Evaluation of the surface fatigue behavior of amorphous carbon coatings through cyclic nanoindentation 2021 https://doi.org/10.1016/j.surfcoat.2020.126769
Experimental study on the tribological behavior of ceramic disks for application in mixer taps under different lubrication conditions 2023 https://doi.org/10.1108/ILT-11-2022-0334
Evaluation of the wear-resistance of DLC-coated hard-on-soft pairings for biomedical applications 2023 https://doi.org/10.1016/j.wear.2023.204728
Wear Mechanism of Superhard Tetrahedral Amorphous Carbon (ta-C) Coatings for Biomedical Applications 2023 https://doi.org/10.1002/admi.202202370
Guest editorial: Insights into the work of a new generation of young tribologists 2023 https://doi.org/10.1108/ILT-09-2023-549
Additively manufactured MAX- and MXene-composite scaffolds for bone regeneration- recent advances and future perspectives 2023 https://doi.org/10.1016/j.colsurfb.2023.113282
Combining multi-scale surface texturing and DLC coatings for improved tribological performance of 3D printed polymers 2023 https://doi.org/10.1016/j.surfcoat.2023.129682
Subject-specific tribo-contact conditions in total knee replacements: a simulation framework across scales 2023 https://doi.org/10.1007/s10237-023-01726-1
Ensemble Deep Learning for Wear Particle Image Analysis 2023 https://doi.org/10.3390/lubricants11110461
Physics-Informed Machine Learning-An Emerging Trend in Tribology 2023 https://doi.org/10.3390/lubricants11110463
Micro-scale deterministic asperity contact FEM simulation 2022 https://doi.org/10.1088/2051-672X/acac42
Roadmap for 2D materials in biotribological/biomedical applications-A review 2022 https://doi.org/10.1016/j.cis.2022.102747
Tribological Behavior of Additively Manufactured Metal Components 2022 https://doi.org/10.3390/jmmp6060138
Additive Manufacturing in the Maritime Industry: A Perspective on Current Trends and Future Needs 2024 https://doi.org/10.5957/JSPD.05230005
Influence of micro-texture radial depth variations on the tribological and vibration characteristics of rolling bearings under starved lubrication 2024 https://doi.org/10.1016/j.triboint.2024.109545
Recent Advances in Machine Learning in Tribology 2024 https://doi.org/10.3390/lubricants12050168
Synergistic Effects of Graphene-added Lubricants and Surface Micro-texturing on the Tribological Behavior of Thrust Roller Bearings 2024 https://doi.org/10.1016/j.triboint.2024.109908
2D materials for Tribo-corrosion and -oxidation protection: A review 2024 https://doi.org/10.1016/j.cis.2024.103243
Enhancing practical modeling: A neural network approach for locally-resolved prediction of elastohydrodynamic line contacts 2024 https://doi.org/10.1016/j.triboint.2024.109988
Effect of Harmful Bearing Currents on the Service Life of Rolling Bearings: From Experimental Investigations to a Predictive Model 2024 https://doi.org/10.3390/lubricants12070230
Application of machine learning for film thickness prediction in elliptical EHL contact with varying entrainment angle 2024 https://doi.org/10.1016/j.triboint.2024.109940
Ti<sub>3</sub>C<sub>2</sub>T<i><sub>x</sub></i>-UHMWPE Nanocomposites-Towards an Enhanced Wear-Resistance of Biomedical Implants 2024 https://doi.org/10.1002/jbm.a.37819
Ti3C2Tx and Mo2TiC2Tx MXenes as additives in synovial fluids - towards an enhanced biotribological performance of 3D-printed implants 2024 https://doi.org/10.1016/j.apmt.2024.102464
Prediction of air compressor faults with feature fusion and machine learning 2024 https://doi.org/10.1016/j.knosys.2024.112519
From Experimentation to Optimization: Surface Micro-Texturing for Low-Friction and Durable PTFE-Steel Interfaces Under Full Film Lubrication 2024 https://doi.org/10.3390/polym16243505
From Damage to Functionality: Remanufacturing of Thrust Roller Bearings by Tailored Forming 2024 https://doi.org/10.1002/adem.202401393
Wear particle image analysis: feature extraction, selection and classification by deep and machine learning 2024 https://doi.org/10.1108/ILT-12-2023-0414

School Co-Authors

* Authors who are no longer vigent are not clickable.

External Co-Authors

  • Benedict Rothammer
    6 publications
  • Marcel BARTZ
    5 publications
  • Sandro WARTZACK
    5 publications
  • A. Rosenkranz
    5 publications
  • Qingyu Shang
    3 publications
  • Sangharatna M. Ramteke
    3 publications
  • Risheng Long
    3 publications
  • Florian Pape
    2 publications
  • Benoit Merle
    2 publications
  • Sangharatna M. Ramteke
    2 publications
  • Volker Schneider
    2 publications
  • Tapan K. Mahanta
    2 publications
  • S. Naveen Venkatesh
    2 publications
  • Gerhard Poll
    2 publications
  • Alexander Wolf
    1 publication
  • Alessandro Ruggiero
    1 publication
  • M. Amarnath
    1 publication
  • Dario F. Zambrano
    1 publication
  • S. Aravinth
    1 publication
  • Jan Philippe Kretzer
    1 publication
  • Yimin Zhang
    1 publication
  • Dario F. Zambrano
    1 publication
  • James Garofalo
    1 publication
  • Siegfried Werner
    1 publication
  • Andreas Schubert
    1 publication
  • Ronit Shah
    1 publication
  • Marius Krewer
    1 publication
  • Jurgen Stampfl
    1 publication
  • Florian Pape
    1 publication
  • Kasra Shirini
    1 publication
  • Longen Zhang
    1 publication
  • Babak Anasori
    1 publication
  • Andreas Rosenkranz
    1 publication
  • Rainer Detsch
    1 publication
  • Sugumaran Vaithiyanathan
    1 publication
  • Thomas Lohner
    1 publication
  • Gregor Patzer
    1 publication
  • Andreas Winkler
    1 publication
  • Josephine Kelley
    1 publication
  • Sangharatna M. Ramteke
    1 publication
  • Valentin Waltenberger
    1 publication
  • Jincheng Hou
    1 publication
  • Volker Weihnacht
    1 publication
  • Brian C. Wyatt
    1 publication
  • Michael Schwendner
    1 publication
  • Raj Shah
    1 publication
  • Rainer Frank
    1 publication
  • Naveen Venkatesh Sridharan
    1 publication
  • Gerhard Poll
    1 publication
  • Carsten Gachot
    1 publication
  • Felix Saure
    1 publication
  • Hamid Khorsand
    1 publication
  • Shaoni Sun
    1 publication
  • Abhay Nambiar
    1 publication
  • Stefan Schroeder
    1 publication
  • Bo Wang
    1 publication
  • Karsten Stahl
    1 publication
  • Stephan Henzler
    1 publication
  • Felix Schulte-Hubbert
    1 publication
  • Guido Boidi
    1 publication
  • Yimin Zhang
    1 publication
  • Minufar Abdollahi Khabisi
    1 publication
  • Stephan Tremmel
    1 publication
  • Jacob Patenaude
    1 publication
  • Thomas Boehm
    1 publication
  • Gavin Thomas
    1 publication
  • Dirk W. Schubert
    1 publication
  • Marko Tosic
    1 publication
  • Philipp G. Grutzmacher
    1 publication
  • Marco De Stefano
    1 publication
  • Joseph Vivek
    1 publication
  • Jiashuai Hu
    1 publication
  • Maximilian Uhler
    1 publication
  • Yuhao Sun
    1 publication
  • Cotty D. Quiroz Esteban
    1 publication
  • Stephan Tremmel
    1 publication
  • Klara Feile
    1 publication
  • Kevin Neusser
    1 publication
  • Marlene Kristin Ziegler
    1 publication
  • Jorg Miehling
    1 publication
  • Anna Krapf
    1 publication
  • Chi Ma
    1 publication
  • Farhad Shirini
    1 publication
  • Ying Yao
    1 publication
  • Bethany G. Wright
    1 publication
  • Sebastian Krauss
    1 publication
  • Khosro Shirvani
    1 publication
  • Dietmar Drummer
    1 publication
  • Amarnath Muniyappa
    1 publication
  • Wassim Habchi
    1 publication
  • Patrick Beau
    1 publication
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