Fields of Research

Computational modeling coupling Computational Mechanics and Computational Materials Science, with emphasis on multi-scale structure-materials modeling and simulations, multi-physics modeling and simulation of multi-functional materials, materials characterization, process modeling, emerging fields like Integrated Computational Materials Engineering (ICME). 

Specific areas of activity include:

• Additive Manufacturing: Digital Twin for process-microstructure-performance and life

• Spatial and temporal multiscale, multiphysics modeling method development

• Modeling failure and fatigue in metals, composites, and multifunctional materials

• Coupled phase-field crystal plasticity modeling for heterogeneous materials

• Fatigue and failure modeling and damage sensing of engineering components

• Data-driven methods, Machine Learning and Uncertainty Quantification

• Synthetic microstructure builders, statistically equivalent RVEs

• Atomistic-continuum multiscale modeling of polymeric and metallic materials

• Novel computational model development

A few of the notable contributions are:

Certification and Qualification of Metals Additive Manufacturing through a Digital Twin

Machine Learning  Enabled Multiscale Model Fatigue Life Prediction in Metals and Composites: A Digital Twin Platform

Crack Propagation in Polycrystalline Metals Crystal Plasticity-Phase Field Model with Crack Tip Enhancement by Atomistic Simulations

Machine Learning-Enabled Computational Modeling Framework for Virtual Damage Sensing in Multifunctional Materials

Multiscale Modeling Including Machine Learning