Congratulations to Jason Maldonis on the successful defense of his thesis and earning the PhD in Materials Science! We’ll miss him, but he’s off the bigger challenges in the future.
Month: June 2019
New method to analyze short-range order in metallic glass models
Jason has published a paper using machine learning to discover short-range order in computer models of metallic glasses. The methods extracts SRO clusters from the model, aligns them using a ML method called point pattern …
Machine learning accelerates STEM simulations
Our paper on using machine learning to develop fast, approximate methods for STEM image simulations has been published. The method requires training on full multislice simulations, but once its trained for a particular system, it’s …
New papers in spintronics
Congli’s work continues to make it’s way into the literature. Papers he contributed to on Fe16N2, a novel material with high intrinsic perpendicular magnetic anisotropy, and improved performance on CoFeB/MgO magnetic tunnel junctions by capping …