Advanced Multiscale Design, Fabrication, and Characterization

Research Themes and Projects

I study transport phenomena in alloy microstructures, and develop synthesis and fabrication methods for multiscale material designs, to develop structural materials designs which can accommodate and autonomously heal defects.

High-Throughput Local Diffusion Mapping
High-Throughput Local Diffusion Mapping Spatially resolved transport in alloy microstructures

Local deformation mapping uses thermomechanical nanomolding to reveal spatial variations in atomic transport across alloy microstructures, mapping diffusivity as a function of variations in the microstructural features.

Top-down Thermomechanical Nanofabrication
Top-down Thermomechanical Nanofabrication Low-temperature nanomolding through eutectic interface diffusion

Enhanced diffusion at gold–silicon eutectic interfaces enables thermomechanical nanomolding at low temperatures, including room-temperature fabrication of gold and gold–silicon nanostructures.

Bottom-up Assembly of Nanomaterials
Bottom-up Assembly of Nanomaterials DNA-programmed organization of nanoparticles

My current research explores how programmable DNA-bonds control nanoscale organization and the formation of ordered materials. Complementary single strands of DNA interact, guiding nanoparticles into extended assemblies. Publications coming soon!

Additional research

Metallic Glass under Irradiation
Metallic Glass under Irradiation Dose-dependent changes in metallic-glass hardness

Low-dose helium irradiation increases hardness in zirconium-based metallic glass without observed nanocrystals. At higher doses, nanoindentation measurements show a decrease in hardness.

Machine learning performance in metallic glass physics
Machine learning performance in metallic glass physics Physical insight for predicting glass formation

Comparing machine learning with physical insight shows the limits of elemental descriptors for predicting glass formation and highlights the importance of alloy mixing behavior.