STLE Virtual Symposium: Digital Tribology

July 19 & 20, 2023
8:00 am - 12:00 pm CT

Thank you for attending the Virtual Symposium

Structure and Scope

The symposium will bring together leading computational, experimental, and data scientists for two half-day discussions geared towards advancing our understanding of mechanical, chemical, electrical processes on surfaces, lubricants, and tribosystems. The symposium will take stock of the ongoing research efforts and devise new strategies to leverage the upcoming leap in capability due to exascale computing, new artificial intelligence / machine learning (AI/ML) methods, and novel material and chemical synthesis and characterization techniques and experimental facilities to design sustainable and efficient interfaces.

Themes covered in the symposium

Introduction to data science, AI /ML, and related
Data-driven design of new tribo-surfaces and interfaces
- Mining database for interfacial properties
- Discriminative, Generative and Reinforcement Learning for material discovery
- Transfer learning from molecular simulations to mechanical design
Tribology under extreme environments and highly non-equilibrium conditions
- Shock/high-velocity phenomena and excited-state simulations for phototribology
- Parameterization of reactive atomistic potentials for new interfacial chemistries
- Ultrafast experiments for exploring nano-scale processes at surfaces/interfaces
Capturing multi-scale and multi-physics phenomena in tribosystems
- Digital Twins and Coarse-grained simulations of chemomechanical interfaces
- Accelerated dynamics and other methods to characterize long-term behavior
- Effects of charge transfer, electric and magnetic fields at electrified interfaces

Click here to view the program agenda and schedule

Planning Committee

Aravind Krishnamoorthy, Assistant Professor, Texas A&M University
Wei Gao, Associate Professor, Texas A&M University
Hong Liang, Professor, Texas A&M University
Rebecca Lintow, Director of Professional Development, STLE