We discuss the paper Learning from Failure: Predicting Electronic Structure Calculation Outcomes with Machine Learning Models with the author Prof. Heather J. Kulik.
Papers discussed in this episode:
Kulik group website: http://hjkgrp.mit.edu/
We discuss the paper Screening billions of candidates for solid lithium-ion conductors: A transfer learning approach for small data with the authors Dr. Ekin Dogus Cubuk and Dr. Austin D. Sendek.
Papers discussed in the episode:
Our guest on this episode is Dr. Turab Lookman from Los Alamos National Laboratory. The interview took place at the 2018 MRS Fall meeting.
Relevant papers:
Our guest on this episode is Dr. Patrick Riley from Google Accelerated Science.
Some relevant papers and links:
Google Accelerated Science website: ai.google/research/teams/applied-science/gas
Our guest for this episode is Prof. Dr. O. Anatole von Lilienfeld from the University of Basel.
Some relevant papers:
Group website: https://www.chemie.unibas.ch/~anatole/