Matt McDermott

Postdoc @BerkeleyLab | computational materials & synthesis prediction @persson_group | PhD UC Berkeley | UT Austin | 🥁casachanclas

[Ceder Group @cedergroup]

Joining the A-Lab conversation: https://t.co/E5fnbQAPDI

[Secretary Jennifer Granholm @SecGranholm]

👉 Major AI progress out of @BerkeleyLab with Google

To transform the future of superconductors, power systems, electric vehicles, and other clean energy tech — we need new materials.

A new algorithm to predict them + an AI-driven robotic lab to make them aims to do just that.

[Yuxing Fei @yuxing_fei]

In A-lab, we discover new materials autonomously and fast.
Excited to see our paper published on Nature today!
Really honored to be a member of A-lab team @cedergroup. Thanks to @NJSzymanski and @YanHelenZENG for leading the project!

https://t.co/d4Itdtwucu

[Nathan Szymanski @NJSzymanski]

Excited to share our work in @Nature on the A-Lab, an AI-driven robotic platform that automates materials synthesis. It discovered 41 new compounds in 17 days of closed-loop experiments! Thanks to @cedergroup and @YanHelenZENG for leading this effort!

https://t.co/GLc8cHhoYh

[Nathan Szymanski @NJSzymanski]

Our method to automate the optimization of solid-state synthesis is out now in @NatureComms! It uses DFT data but also learns from experiments to find the best precursors for a given material. We hope this can help guide future autonomous platforms 🤖 😃
https://t.co/T9CVT3Q8jt

[Matt McDermott @mattmcd1]

Oh man someone really messed up the mastered audio on the new 1989 re-release. Buzzing and clicking sounds all over it. Very disappointing :(

[Kristin Persson @KPatBerkeley]

Very proud of this work - congratulations Matt ! A crowning achievement to your PhD 🎉 🎊

[Matt McDermott @mattmcd1]

@Andrew_S_Rosen @ACSCentSci @KPatBerkeley Thanks Andrew!!

[Matt McDermott @mattmcd1]

Our article on assessing the selectivity of solid-state reactions for improved synthesis planning is available now in @ACSCentSci! Feeling excited as we get one step closer to achieving the "holy grail" of predictive materials synthesis. @KPatBerkeley

https://t.co/DTlSTg1wiR

[Matt McDermott @mattmcd1]

This work was a large collaboration involving much of the great team in @EfrcGenesis. Special thanks to the @csu_chemistry folks: Brennan McBride, Corlyn Regier, Thinh Tran, and @jrnchem!

[Matt McDermott @mattmcd1]

Someone vandalized a speed limit sign in Berkeley (on Marin Ave) and I have to be honest I laughed for way too long when I saw it 😂

[Matt McDermott @mattmcd1]

@Andrew_S_Rosen Thanks Andrew ❤️

[Matt McDermott @mattmcd1]

Predicting how to synthesize new materials is tricky. Getting a pure phase is even harder (we saw this w/ lk99). To address this challenge, we came up with a framework & tool for coming up with more optimal solid-state synthesis recipes! Preprint:
https://t.co/zaulP7oh3p

[Matt McDermott @mattmcd1]

I’m really happy to have worked with the amazing people on this project. Thank you especially to Brennan McBride, @jrnchem, and @KPatBerkeley who all were somehow okay with me attempting to be an experimentalist after four years of only coding 😬😎

[Matt McDermott @mattmcd1]

Stated geometrically: adding another element means adding another dimension in energy-composition phase space. That gives so many more ways you can find convex hull “binary slices” that yield the target while shortcutting around undesired competing phases

[Matt McDermott @mattmcd1]

@draykol Thanks Murat! Really appreciate the work you did on PIRO :)

[Matt McDermott @mattmcd1]

@jmdagdelen I just leave the rear seats down permanently now 😅

[Matt McDermott @mattmcd1]

@Andrew_S_Rosen @jrcaram combinatorial explosion 😢😢