Friction Forum 2025

Address: Room A278,Lee Shau Kee Sci.&Techn.Building,Tsinghua University Time：11 / 05 08:45 ~ 17:40

ORGANIZERS:FrictionState Key Laboratory of Tribology in Advanced Equipment, Tsinghua University
SPONSORS:Tsinghua University Press,ZGC Forum & Exhibition co., Ltd.

08:45-09:00	Jianbin Luo,Director of SKLT,EIC of Friction
09:00-09:20	Physics-based and data-driven advanced multiscale models of lubrication
	Daniele Dini Imperial College London,UK
09:20-09:40	On the artefacts involved in the measurements of engineering 3D topography and correction method
	Valentin L.Popov,Mikhail Popov,lakov A.Lyashenko Berlin University of Technology,Germany;Department of Artificial Intelligence and Information Systems,Samarkand State University,Uzbekistan
09:40-10:00	Machine learning-assisted pathways to tribological materials discovery
	Stefan Eder AC2T,Austria
10:00-10:20	Unraveling superlubricity mechanism of DLC film by machine- learning potential based MD simulation
	Tianbao Ma SKLT,Tsinghua University,China
10:40-11:00	Bridging scales:Enhanced practical modeling of machine element by Al-powered prediction of EHL contacts
	Max Marian Pontificia Universidad Católica de Chile,Chile;Leibniz University Hannover,Germany
11:00-11:20	Conditional UNet-based prediction of friction temperature field in deterministic surface lubrication
	Yichun Xia SKLT,Tsinghua University,China
11:20-12:00	Daniele Dini,Valentin L.Popov,Stefan Eder,Tianbao Ma Max Marian,Yichun Xia
13:40-14:00	Tribo-informatic assessment of friction coefficient dynamics via multimodal signals
	Zhinan Zhang Shanghai Jiao Tong University,China
14:00-14:20	Modeling and analysis of energy consumption in ballroom dance performance with machine learning
	Aleksandar Marinkovic University of Belgrade,Serbia
14:20-14:40	Modelling/prediction/prognostics techniques-Al perspective in prediction and prognosis of complex systems and structures
	Zulfiqar Khan Bournemouth University,UK
14:40-15:00	Reinforcement learning method for datatic control of complex industrial systems
	Shengbo Eben Li School of Vehicle and Mobility (SVM),College of AI,Tsinghua University,China
15:20-15:40	Artificial intelligence-based recognition method for abnormal wear of critical friction components in advanced rail transit equipment
	Jiliang Mo Southwest Jiaotong University,China
15:40-16:00	Towards predictive tribology:image-driven models for friction coefficients
	Motoyuki Murashima Tohoku University,Japan
16:00-16:20	Applying machine learning to acoustic emission data for in-situ lubrication condition monitoring
	Min Yu Imperial College London,UK
16:20-16:40	Challenges of Al on publication of tribology research work
	Jun Xu SKLT,Tsinghua University,China
16:40-17:20	Zhinan Zhang,Aleksadra Marinkovic,Zulfiqar Khan,Min Yu Jiliang Mo,Motoyuki Murashima,Jun Xu
17:20-17:40	Friction prize award

Regular Activities

Friction Forum 2025