It's a Material World | Materials Science Podcast
Science:Chemistry
Machine Learning and Artificial Intelligence are buzzwords that have infiltrated the materials science space, as many believe these tools will change the field as we know it. We’ve seen previous guests strongly recommend learning about ML models in order to become more efficient materials scientists, but with that, we have to realize the limitations of ML and AI as well.
Before we introduce today’s guest, check out our free professional development guide for materials scientists and engineers!
Today’s guest is Chris Borg, Research Scientist at Citrine Informatics. In this episode, he explains materials informatics and applications of machine learning in MSE.
In this conversation, we discuss the following topics:
Reach out to Chris:
Special thanks to Matmatch for sponsoring this episode! Visit their website at www.matmatch.com.
Join our Discord community! You can meet other passionate materials scientists and engineers from around the world, discuss the latest breakthroughs in MSE, share materials-related memes, and get career advice from experts in the field.
For shorter segments and full video podcasts, subscribe to our channel on YouTube. For bloopers, audiograms, and interesting materials science articles, follow us on Instagram, LinkedIn, and Twitter. Feel free to message us on our social media platforms if you have any feedback or recommendations for future episodes, or email us directly at itsamaterialworldpodcast@gmail.com. Finally, reach out to David Yeh and Punith Upadhya on LinkedIn if you'd like to chat about the latest breakthroughs in MSE!
Disclaimer: Any opinions expressed by either guests or hosts in this show are their own, and do not represent the opinions of the companies or organizations for which they are affiliated.
Create your
podcast in
minutes
It is Free