Daniel Zuegner @danielzuegner.bsky.social

Senior Researcher @ MSR AI for Science. Former: PhD in ML @ TU Munich.

Find me on Mastodon:

[Daniel Zuegner @danielzuegner.bsky.social @DanielZuegner]

Excited to finally get to share what we’ve been working on for a while!

[Tian Xie @xie_tian]

[1/N] Generative AI has revolutionized how we create text and images. How about designing novel materials? We at @MSFTResearch #AI4Science are thrilled to announce MatterGen: our generative model that enables broad property-guided materials design.
👇
https://t.co/wDExZ3zWcd

[Claudio Zeni @zany_cloud]

⭐️MatterGen has reached 1K stars on GitHub⭐️

Thanks for giving it a try, we look forward to seeing what you can discover with it!

This is what we discovered so far 🙃 (audio on)

[Ryota Tomioka @ryotat]

Code repository:
https://t.co/0qvheVM0gh

[Claudio Zeni @zany_cloud]

📢 Paper + code release 📃💻
After 2 years of work, I'm excited to announce our newest paper, MatterGen, has been published in Nature!
https://t.co/Mjd0DKX57y

[Satya Nadella @satyanadella]

Today in @Nature: Our MatterGen model represents a paradigm shift in materials design, applying generative AI to create new compounds with specific properties with unprecedented precision.

[Peter Lee @peteratmsr]

Today in @Nature we present MatterGen, which generates novel materials given prompts of desired chemical, mechanical, electronic, or magnetic properties. @MSFTResearch we see that genAI can learn the languages of nature, not just of humans.

[Robert Pinsler @rpinsler]

MatterGen is out in Nature! MatterGen is a SOTA generative model for materials design. We also raise the bar for evaluation by considering disorder and experimentally validating model capabilities. Code is open-source!

https://t.co/s6o40qYS9J
https://t.co/dEMOPv5SSK

[Ziheng Lu @luzihen]

MatterGen is now in Nature! Try it out from the open source repo!

[Tian Xie @xie_tian]

Compared to our announcement 1 year ago (see copied post), we successfully synthesized a novel material generated by MatterGen and show the experimentally measured property is within 20% of the target -- quite close from an experimental point of view.

https://t.co/7DJ5WmCeJG

[Claudio Zeni @zany_cloud]

We are also releasing all the training data, model weights, model code, and evaluation code on GitHub!
https://t.co/dNi4h1KFzX

[Chin-Wei Huang @chinwei_h]

📜 MatterGen published by Nature 📢

A generative model capable of discovering new materials. Super excited for the team! Check out the code and paper 👇
- https://t.co/PVXJASByPB
- https://t.co/BThdlCy1OP

[Daniel Zuegner @danielzuegner.bsky.social @DanielZuegner]

MatterGen will be published by Nature, and the repository is now public. Check it out! https://t.co/C8atVJQ7s6

[Microsoft Research @MSFTResearch]

Microsoft researchers introduce MatterGen, a model that can discover new materials tailored to specific needs—like efficient solar cells or CO2 recycling—advancing progress beyond trial-and-error experiments. https://t.co/z9yOaV7VGo

[Daniel Zuegner @danielzuegner.bsky.social @DanielZuegner]

Just went over to where the skies are blue. If you're also there, hit me up at @danielzuegner.bsky.social!

[Daniel Zuegner @danielzuegner.bsky.social @DanielZuegner]

Check out BioEmu, the latest work coming out of @MSFTResearch AI for Science!

[Frank Noe @FrankNoeBerlin]

Super excited to preprint our work on developing a Biomolecular Emulator (BioEmu): Scalable emulation of protein equilibrium ensembles with generative deep learning from @MSFTResearch AI for Science.
#ML #AI #NeuralNetworks #Biology #AI4Science

https://t.co/yzOy6tAoPv

[Frank Noe @FrankNoeBerlin]

Super excited to preprint our work on developing a Biomolecular Emulator (BioEmu): Scalable emulation of protein equilibrium ensembles with generative deep learning from @MSFTResearch AI for Science.
#ML #AI #NeuralNetworks #Biology #AI4Science

https://t.co/yzOy6tAoPv

[Ziheng Lu @luzihen]

Yes, finally got MatterSim out for our community to use. Please checkout the codes (and weights!), have fun with it, interface it with your awesome pipelines/softwares, and accelerate your cool research!
GitHub repo: https://t.co/NzxanI9JRB
Preprint: https://t.co/soUd48xAKn

[Microsoft Research @MSFTResearch]

We're thrilled to announce the release of MatterSimV1-1M and MatterSimV1-5M on GitHub. These cutting-edge models are now available for researchers, developers, and innovators to explore, customize and build upon. https://t.co/AiImSAWDGV

[Daniel Zuegner @danielzuegner.bsky.social @DanielZuegner]

Our internship position closes in on 10/31. Apply now if you'd like to work with us on AI for materials design!

[Tian Xie @xie_tian]

The application portal will close on 10/31 in 3 days. Please submit your applications as soon as possible if you are interested in working with us. We will begin screening candidates very soon.

[Frank Noe @FrankNoeBerlin]

Join us on our exciting mission to disrupt the molecular sciences with #MachineLearning #AI at
@MSFTResearch AI for Science. Researcher and Engineering positions open, each can be in Berlin DE or Cambridge UK:

https://t.co/mphLkeiOkz
https://t.co/m9Zp0SQ7Eq

[José Jiménez-Luna @josejimlun]

Hey y'all, we have open senior research and engineering positions available in Cambridge (UK) / Berlin (DE). Come join us at AI4Science. Ping me for details.

https://t.co/KqKrt36Z1A
https://t.co/4ZLv5wa1QI

[Daniel Zuegner @danielzuegner.bsky.social @DanielZuegner]

Exciting full-time openings for researchers & engineers in Berlin or Cambridge UK!