Grant Harvey
π€ SpeakerVoice Profile Active
This person's voice can be automatically recognized across podcast episodes using AI voice matching.
Appearances Over Time
Podcast Appearances
I guess my question is, what would be the next thing that you would want to do with that database?
Like, are you just making lithium metal as efficient as possible?
Are you coming up with new compounds?
Are you exploring other material batteries?
Like, what can you do with this now that you have it?
I was not expecting that.
So does that create a feedback loop then where you're using the molecular mapping for the dry data, you're then getting wet data to validate, and then you can feed that wet data back to your map and create a more efficient map or a more accurate map?
So it's like, basically, would it be equivalent to tuning it?
To tuning the dry data?
Yeah.
Exactly, yeah.
And I guess, just so I understand, when we're talking about this map, is this a bunch of
text data?
Or is there 3D models involved when we're dealing with chemistry?
Is it a mix of both?
What does it actually look like conceptually?
What the data look like?
Yeah.
What does a map of the data actually look like?
Are you dealing with 3D simulation models like that?