2. What is Materials Informatics?
Вставка
- Опубліковано 11 лип 2024
- Before we dive into Materials Informatics details, we should talk about what exactly Materials Informatics is and why materials researchers should care about it. In this video, we discuss how Materials Informatics can help identify structure-property-processing-performance linkages in ways that humans would not otherwise be able to do. I describe the history of the Materials Genome Initiative, a movement from domain experts to deep learning in natural language processing, and examples of machine learning successes such as AlphaFold, Al 7A77, and others.
Check out the whole materials informatics series at • Materials Informatics with workbooks and course notes available at github.com/sp8rks/MaterialsIn...
Thank you so much for uploading this to youtube. I've been a chemical engineer for a while now, but could never really pin point the field I was interested in (except just giving a general "material science" answer). Now I finally know where to look! :)
Awesome! I hope it's helpful! Make sure you follow along with the notebooks etc in the associated GitHub page for this course. All free and openly available!
Very informative and crystal clear...
I happened to watch this series of your lecture when I searched some videos of materials informatics. Although this is just the 2nd lecture in this series, I found it really engaging and awesome right off the bat. Thanks to your explanation, I got to understand that the purpose behind of materials genome initiatives is something great as the human genome project. I really like the example of thermoelectrics as it shows the big picture of zT achievements over the course of 20 years. This is very eye-opening to me because I have never thought of it before even though this field is by chance something I worked on in a research project at university. Thanks a lot!
Thank you so much! I hope you'll like the whole series!
Mr. Sparks you are doing perfect job. please keep on doing this.
Will do!!!
14:56 "At some point, we can just learn from examples without knowing the reasons behind them", and someway it makes me sad. Btw, awesome lecture series! Is there a timeline when you plan to finish it because the last one (Materials Data Repo) is already a couple weeks old and I was really looking forward to this series for the summer.
Yeah, black box learning is a little bit sad isn't it? I'm working on the next video now. I think that the series will be done by the end of the year not the end of the summer.
This is very interesting video. Thanks for sharing all this knowledge in such accessible way. I would like to ask about the source the chart ,, zT and average zT over 20 years''
so sorry I didn't see this! We published this data in 2013 in our chem mater paper, pubs.acs.org/doi/10.1021/cm400893e
what platform u used to make this cool video
It's just powerpoint
6:18 You're a bit misleading here. This is not the "first ever 3D printable Aluminum alloy". It's the first alloy to be registered with the Aluminum Association for use in additive manufacturing, a move toward commercialization of the powder. There are plenty of others who have created alloys which print successfully.
I'm not downplaying the role of informatics in the development. I'm just trying to fact check. Other than this the video is pretty good and informative.
Thanks so much! Got a link I can read up?
10:45 can we find similar graphs in an up to date website?
That's a good idea. I can probably put those plots up on the GitHub for this class
I have few doubts about the course.
1. Will we get a chance to learn AI as a beginner in this course or do we need its knowledge as a prerequisite (as I am very much interested in the course but I don't have experience with AI)?
2. Do we get a chance to learn EMT in detail or will we focus more on just using it as a tool?
1. We will teach it for beginners and get more advanced over time.
2. EMT?
@@TaylorSparks Sorry was I wrong to assume you guys were using effective medium theory?
@@varunmehrotra1053 not in this course
@@TaylorSparks So what simulation technique is used in material informatics (MD or DFT)?
@@varunmehrotra1053 machine learning predictions rather than DFT or MD simulations.