Materials and Megabytes
Our podcast explores the development of machine learning for materials science, physics and chemistry through conversation with researchers at the forefront of this growing interdisciplinary field.
Seasons 1–3 co-created and co-hosted with colleagues from the Materials Computation and Theory Group at Stanford. Now hosted by SciMaLL.
Season 4: In production
- Soon Evan Antoniuk Lawrence Livermore National Laboratory
- Soon Basita Das AMOLF
- Soon Jie Xu University of Chicago and Argonne National Laboratory
Seasons 1–3: Selected episodes
Full episode list on Buzzsprout and Apple Podcasts.
- S1 E3 Professor Evan J. Reed In memory Stanford University
- S2 E1 Professor Gábor Csányi University of Cambridge
- S2 E2 Professor O. Anatole von Lilienfeld University of Basel
- S3 E2 Professor Heather Kulik Learning from failure: predicting electronic structure calculation outcomes with machine learning models Massachusetts Institute of Technology