A review of advances in tribology in 2020–2021
Y Meng, J Xu, L Ma, Z Jin, B Prakash, T Ma, W Wang - Friction, 2022 - Springer
Abstract Around 1,000 peer-reviewed papers were selected from 3,450 articles published
during 2020–2021, and reviewed as the representative advances in tribology research …
during 2020–2021, and reviewed as the representative advances in tribology research …
A review of recent advances and applications of machine learning in tribology
In tribology, a considerable number of computational and experimental approaches to
understand the interfacial characteristics of material surfaces in motion and tribological …
understand the interfacial characteristics of material surfaces in motion and tribological …
Shear thinning from bond orientation in model unentangled bottlebrush polymer melts
U Gurel, A Giuntoli - Macromolecules, 2023 - ACS Publications
The rheology of molecular brushes remains challenging to control due to the multiple length
scales and relaxation processes involved and the lack of direct observation of molecular …
scales and relaxation processes involved and the lack of direct observation of molecular …
Triboinformatic modeling of the friction force and friction coefficient in a cam-follower contact using machine learning algorithms
BAŞ Hasan, YE Karabacak - Tribology International, 2023 - Elsevier
In this study, the coefficient of friction and friction force in a cam follower mechanism were
estimated using modern machine learning (ML) algorithms. Three different ML algorithms …
estimated using modern machine learning (ML) algorithms. Three different ML algorithms …
Evaluating wear volume of oligoether esters with an interpretable machine learning approach
H Wang, C Zhang, X Yu, Y Li - Tribology Letters, 2023 - Springer
Wear is a familiar tribological failure in liquid lubrication, especially for low-viscosity base
oils without any additives. Therefore, it is necessary to understand and evaluate the anti …
oils without any additives. Therefore, it is necessary to understand and evaluate the anti …
Combining molecular dynamics and machine learning to analyze shear thinning for alkane and globular lubricants in the low shear regime
Lubricants with desirable frictional properties are important in achieving an energy-saving
society. Lubricants at the interfaces of mechanical components are confined under high …
society. Lubricants at the interfaces of mechanical components are confined under high …
Rheological properties of water-based amino acid ionic liquids
Y Feng, A Jabbarzadeh - Physics of Fluids, 2024 - pubs.aip.org
The rheological properties and zero-shear viscosity of water-based lubricants (WBLs)
containing amino acid ionic liquids (AAILs) were investigated using both equilibrium (EMD) …
containing amino acid ionic liquids (AAILs) were investigated using both equilibrium (EMD) …
Molecular dynamics simulations on cloud computing and machine learning platforms
Scientific computing applications have benefited greatly from high performance computing
infrastructure such as supercomputers. However, we are seeing a paradigm shift in the …
infrastructure such as supercomputers. However, we are seeing a paradigm shift in the …
A fully coupled finite element solution for the mixed elastohydrodynamic lubrication of finite line contacts
A fully coupled FE model for mixed EHL of finite line contacts is proposed, integrating all of
the governing equations into a monolithic system. The solution reveals the fully coupled …
the governing equations into a monolithic system. The solution reveals the fully coupled …
Probing Accuracy-Speedup Tradeoff in Machine Learning Surrogates for Molecular Dynamics Simulations
The performance promise of machine learning surrogates of molecular dynamics
simulations of soft materials is significant but generally comes at the cost of acquiring large …
simulations of soft materials is significant but generally comes at the cost of acquiring large …