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.
Gudrun Thäter, Sebastian Ritterbusch
Kris Villez and Jörg Rieckermann
Henry Rzepa
Wolfram Research
Oxford University
Cambridge University
insideQuantum
Hamilton Institute
molpigs
Robocentric
ACD/Labs
Hamilton Institute
Wojciech Wegrzynski
ASME Podcasts
metrologytoday
All Things Photonics
Arvind Ravichandran
Itzik Ben-Shabat
Cavendish Laboratory
Yokogawa Australia and New Zealand
Harker Podcast Network
Lefteris Statharas
Paul Middlebrooks
KALX 90.7FM - UC Berkeley
Philipp Packmohr
Allen Institute for Artificial Intelligence
Harry Dankowicz
Benjamin Himes
Berkeley Lab (Produced & hosted by Aliyah Kovner)
MRS Bulletin
American Mathematical Society
James Fodor
STEMEncounters
Rigaku
Camfil
The Spotlight Report
IEEE EMC SOCIETY
Machine Learning Street Talk
Kyle Polich
MCMP Team
London Futurists
Gerhard Klimeck
Matt Clancy
Cambridge University
Sean Welleck
Lakeside Labs
Lakeside Labs
Jean-Claude Bradley
Neuro Collective
Judy Warner
Brad Moser
Sebastian Hassinger & Kevin Rowney
Rigaku
Ben Jaffe and Katie Malone
Paul Hodkinson
Lukas
Sune Lehmann
Numenta
UCTV
Bullaki
David Provan
Yannic Kilcher
UCTV
Damien Deighan and Philipp Diesinger
U.S. Geological Survey
SigOpt
Breaking Math
Bryan Stanley & Huey-Wen Lin
Ryan Singer
John Suchocki: Conceptual Academy Science Education
satsearch
Greg Fisher
Biolin Scientific
Steven Bryant
sperryk
Ricky Jones
University of Twente
None
Cambridge University
Roland Pöllinger
Aaron Stump
Cassie
Mimi Ho, Mike Cianfrocco, and Liz Kellogg
Dr Waseem Akhtar
Logan Chipkin
Kevin Knudson & Evelyn Lamb
Convergent Science Network: by Prof. Paul Verschure
Gleb Dolgich
Particle Measuring Systems
Sonali Murtadak
The Joint Quantum Institute
Nicholas Carah
The Nonlinear Fund
Roman Cheplyaka
No Bias
MCMP Team
ACMEScience
Scott MacKenzie
Mimie Egbo
None