My research interests include numerical PDEs, hybrid computer architectures, crystal plasticity and reinforcement learning.
Publications
- Michael Malahe. “Designing optimal processing paths for polycrystalline metals with neural network surrogate models.” (In Preparation)
- Michael Malahe. “An efficient spectral crystal plasticity solver for GPU architectures.” Computational Mechanics 62, pp. 1311–1326, 2018.
- English, Justin G., James P. Shellhammer, Michael Malahe, Patrick C. McCarter, Timothy C. Elston, and Henrik G. Dohlman. “MAPK feedback encodes a switch and timer for tunable stress adaptation in yeast.” Science Signaling 8, no. 359, pp. 1–14, 2015.
- K. Mayank, M. Malahe, I. Govender and N. Mangadoddy.
“Coupled DEM-CFD model to predict the tumbling mill dynamics.” Procedia IUTAM 15, pp. 139-149, 2015.