Maria Chan on ML for Material Structures

Machine Learning techniques can aid scientists better understand nano-scale material structures.



Carry the Two
Carry the Two
Maria Chan on ML for Material Structures
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Show Notes

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:

Maria Chan

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