이 팟캐스트 소개 🔗
Exploring the development of machine learning for materials science, physics, and chemistry applications through conversation with researchers at the forefront of this growing interdisciplinary field. Brought to you in collaboration by the Stanford Materials Computation and Theory Group and Qian Yang's lab at the University of Connecticut.
업데이트 빈도:
every 51 days
평균 오디오 길이:
22 minutes
영어
미국
에피소드 10 개
2018년 6월 30일부터
episodic
최신 에피소드 🔗
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:
(Main discussion) Duan, C.; Janet, J. P.; Liu, F.; Nandy, A.; Kulik, H. J. Learning from Failure: P…
이전 에피소드 🔗
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:
Cubuk, E. D.; Sendek, A. D.; Reed, E. J. Screening Billions of Candida…
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:
Gubernatis, J. E.; Lookman, T., Machine Learning in Materials Design and Discovery: Examples from the Present and Suggestions for the Future. P…
Our guest on this episode is Dr. Patrick Riley from Google Accelerated Science.Some relevant papers and links:
Riley, P., Practical advice for analysis of large, complex data sets. The Unofficial Google Data Science Blog, www.unofficialgoogledatascience.com/2016/10/practical-advice-for-analysis-of…
Our guest for this episode is Prof. Dr. O. Anatole von Lilienfeld from the University of Basel.Some relevant papers:
Huang, B., and von Lilienfeld, O. A., The ‘DNA’ of Chemistry: Scalable Quantum Machine Learning with ‘Amons.’ arXiv:1707.04146, (2017)
Ramakrishnan, R., Dral, P. O., Rupp, M., and v…
Our guest on this episode is Professor Gábor Csányi from the University of Cambridge.Some relevant papers:
Bartok, A. P., Payne, M. C., Kondor, R., and Csanyi, G., Gaussianapproximation potentials: the accuracy of quantum mechanics, without the electrons. Physical Review Letters, doi:10.1103/PhysR…
Our guest on this episode is Professor Evan J. Reed from Stanford University.
Our guest on this episode is Dr. Ekin Doğuş Çubuk from Google Brain.
Our guest on this episode is Professor Kieron Burke from the University of California, Irvine.
Start here for a brief introduction to this podcast!
면책 조항: 이 페이지에 포함된 팟캐스트와 작품은 Stanford Materials Computation and Theory Group, Qian Yang's lab at the University of Connecticut에서 가져온 것입니다. 이 팟캐스트는 소유자의 재산이며 Listen Notes, Inc.와 제휴하거나 보증하지 않습니다.
팟캐스트 검색 엔진
당사 웹사이트를 사용하여3,827,628팟캐스트 및196,261,244에피소드를 사람, 장소 또는 주제별로 검색할 수 있습니다.
지식에 대한 투자가 가장 큰 이익을 주기에 저는 팟캐스트를 듣습니다.
‐ Benjamin "Llamacorn" Franklin
이 팟캐스트 요청하기
Why to claim podcasts?
If you are a podcaster, the best way to manage your podcasts on Listen Notes is by claiming your Listen Notes
podcast pages.
It is a great, free way to engage the podcast community and increase the visibility of your podcasts.
After claiming your Listen Notes podcast pages, you will be able to:
✓
Manually refresh the RSS feed to sync up
✓
Get a verified badge (
✓
) alongside with your podcast name on Listen Notes
✓
Post 분류 광고 for sponsorship,
guests, co-hosts,
cross-promotion...
✓
Respond to listener comments on Listen Notes
✓
Use speech-to-text techniques to transcribe your show and
edit transcripts
✓
Improve the presence of your podcasts, e.g., self-service
팟캐스터 인터뷰...
✓
If you share your Listen Notes page and at-mention @ListenNotes
on X (formerly Twitter),
공식 X(구 Twitter) 계정 will retweet to promote
your show to our followers.
Coming soon:
◯ Self-service promotion on Listen Notes
◯ Track your podcast stats on Listen
Notes, e.g., listens, page
views...
◯ Manage episodes
