Daniel Zuegner @danielzuegner.bsky.social

192 posts

Daniel Zuegner @danielzuegner.bsky.social

Daniel Zuegner @danielzuegner.bsky.social

@DanielZuegner

Senior Researcher @ MSR AI for Science. Former: PhD in ML @ TU Munich. Find me on Mastodon: https://t.co/lesUCqSzuw. @danielzuegner.bsky.social

Berlin Beigetreten Temmuz 2014
263 Folgt896 Follower
Daniel Zuegner @danielzuegner.bsky.social retweetet
Claudio Zeni
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)
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Daniel Zuegner @danielzuegner.bsky.social retweetet
Satya Nadella
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.
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Daniel Zuegner @danielzuegner.bsky.social retweetet
Peter Lee
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.
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. msft.it/6012U8zX8

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Robert Pinsler
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! nature.com/articles/s4158… github.com/microsoft/matt…
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. msft.it/6012U8zX8

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Daniel Zuegner @danielzuegner.bsky.social retweetet
Tian Xie
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. x.com/xie_tian/statu…
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. 👇 arxiv.org/abs/2312.03687

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Daniel Zuegner @danielzuegner.bsky.social retweetet
Claudio Zeni
Claudio Zeni@zany_cloud·
We are also releasing all the training data, model weights, model code, and evaluation code on GitHub! github.com/microsoft/matt…
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Daniel Zuegner @danielzuegner.bsky.social retweetet
Daniel Zuegner @danielzuegner.bsky.social retweetet
Ziheng Lu
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: github.com/microsoft/matt… Preprint: arxiv.org/abs/2405.04967
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. msft.it/6013oBZLt

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Microsoft Research
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. msft.it/6013oBZLt
Microsoft Research tweet media
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