Microstructure-sensitive fatigue
Crystal plasticity and statistically representative microstructures for fatigue initiation, small-crack growth, and total-life prediction.
Explore this theme →Computational materials scientist · Purdue University
Predicting fatigue from microstructure to component life.
I combine microstructure-sensitive modeling, in situ synchrotron experiments, and scientific machine learning to understand fatigue and accelerate the qualification of additively manufactured materials.
01 Processing
Additive manufacturing and controlled process perturbations
02 Structure
Defects, microstructure, surface condition, and residual stress
03 Mechanics
In situ experiments, crystal plasticity, and data-driven models
04 Performance
Fatigue initiation, crack growth, life, and qualification
Research program
Mechanistic models, revealing experiments, faster decisions.
My work connects observations and simulations across length scales—from individual grains and defects to engineering fatigue life. The goal is not only to explain why materials fail, but to build predictive tools that make new materials easier to trust and deploy.
Defect-aware advanced manufacturing
Experimentally informed models that quantify how pores, rough surfaces, and process history influence fatigue-critical behavior.
Explore this theme →In situ experiments and scientific ML
High-energy X-ray measurements and data-driven models that reveal local mechanisms and translate detailed mechanics into rapid predictions.
Explore this theme →Selected work
Representative contributions
These papers illustrate the progression from process-controlled defects and grain-scale mechanics to unified fatigue-life prediction. The complete record is available on the publications page.
2026
A unified model for microstructure-sensitive fatigue crack initiation across low and high cycle fatigue
Materials & Design · A single, physically interpretable framework spanning fatigue regimes.
2026
Micromechanical and fatigue in situ synchrotron characterization of an additively manufactured superalloy with porosity
Additive Manufacturing · Three-dimensional defect observations paired with evolving micromechanical response.
2023
Modeling fatigue behavior of additively manufactured alloys with an emphasis on pore defect morphology
Journal of the Mechanics and Physics of Solids · Defect shape and local microstructure linked to fatigue-critical response.
Teaching & mentorship
Helping engineers connect mechanics, materials, and computation.
I value learner-centered teaching, transparent expectations, and research mentorship that develops both technical independence and scientific judgment.
Teaching and mentoring →Current direction
From crack initiation to total fatigue life.
My current work connects initiation, microstructurally small-crack growth, and long-crack growth while incorporating realistic surface and residual-stress states.
Read the research vision →Collaboration