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

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. jobs.careers.microsoft.com/global/en/job/… jobs.careers.microsoft.com/global/en/job/…

Join us on our exciting mission to disrupt the molecular sciences with #MachineLearning #AI at Microsoft Research AI for Science. Researcher and Engineering positions open, each can be in Berlin DE or Cambridge UK: aka.ms/ai4science-eng… aka.ms/ai4science-res…

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

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

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

Super excited to preprint our work on developing a Biomolecular Emulator (BioEmu): Scalable emulation of protein equilibrium ensembles with generative deep learning from Microsoft Research AI for Science. #ML #AI #NeuralNetworks #Biology #AI4Science biorxiv.org/content/10.110…

Check out BioEmu, the latest work coming out of Microsoft Research AI for Science!

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

📢 Paper + code release 📃💻 After 2 years of work, I'm excited to announce our newest paper, MatterGen, has been published in Nature! nature.com/articles/s4158…

We are also releasing all the training data, model weights, model code, and evaluation code on GitHub! github.com/microsoft/matt…

MatterGen will be published by Nature, and the repository is now public. Check it out! github.com/microsoft/matt…

📜 MatterGen published by Nature 📢 A generative model capable of discovering new materials. Super excited for the team! Check out the code and paper 👇 - nature.com/articles/s4158… - github.com/microsoft/matt…

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…

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

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…

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

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.

Code repository: github.com/microsoft/matt…

⭐️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)