Maria Chan on ML for Material Structures
Welcome to Carry the Two, the podcast about how math and statistics impact the world around us from the Institute for Mathematical and Statistical Innovation. While we’re in between our more in-depth seasons, we like to bring you something a little different in mini-season format. And for this mini season, we are going to highlight some of the amazing researchers who have presented at IMSI over the past year. Our second guest is Maria Chan,a scientist at Argonnne National Laboratory working at the Center for Nanoscale Materials who focuses on computational research involving materials in chemistry using a combination of physics, artificial intelligence and machine learning. Maria joined us at IMSI for a workshop on Machine Learning in Electronic Structure Theory where she presented a talk titled Theory-informed AI/ML for Microscopy & Spectroscopy. Host Sam Hansen joined Maria for a talk about the research in her talk and Maria’s time at IMSI.
Find our transcript here: Google Doc or .txt file
Curious to learn more? Check out these additional links:
IMSI Talk: Theory-informed AI/ML for Microscopy & Spectroscopy
Follow more of IMSI’s work: www.IMSI.institute, (twitter) @IMSI_institute, (mastodon) https://sciencemastodon.com/@IMSI, (instagram) IMSI.institute
Music by Blue Dot Sessions
The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348
Available Results
Generated results are saved to the knowledge database for reuse and search.
Extract Knowledge
Pick what you want extracted first. Model, scope, and chapter options appear after a template is selected.