Ryota Tomioka
@ryotat
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a machine learner, indoor climber, plays the cello and is interested in biology, language, and human. Favourite authors: James Tiptree Jr. and Ted Chiang.
Cambridge, UK
Joined March 2009
Excited to share the news that MatterGen is published on Nature today. Compared to our preprint, we have improved our evaluation; we’ve also shown successful exp synthesis! Grateful for the team members for their hard work and @MSFTResearch colleagues for support!
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.
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RT @zany_cloud: ⭐️MatterGen has reached 1K stars on GitHub⭐️ Thanks for giving it a try, we look forward to seeing what you can discover w…
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RT @MaziarzKris: MatterGen now published in Nature 🔥 Very strong work from the materials team at @MSFTResearch AI for Science!
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RT @DanielZuegner: MatterGen will be published by Nature, and the repository is now public. Check it out!
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RT @satyanadella: Today in @Nature: Our MatterGen model represents a paradigm shift in materials design, applying generative AI to create n…
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RT @zany_cloud: 📢 Paper + code release 📃💻 After 2 years of work, I'm excited to announce our newest paper, MatterGen, has been published in…
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@jmtomczak @BlackHC I believe the authors can and will update the paper on arxiv but I believe it would be fair to publish correction notice on NeurIPS website
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RT @SebastienBubeck: Surprise #NeurIPS2024 drop for y'all: phi-4 available open weights and with amazing results!!! Tl;dr: phi-4 is in Lla…
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RT @TheTuringPost: Meet Phi-4, @MSFTResearch's latest leap in small language models – at 14B parameters, it punches way above its weight cl…
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RT @FrankNoeBerlin: Super excited to preprint our work on developing a Biomolecular Emulator (BioEmu): Scalable emulation of protein equili…
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Our latest deep-learning-based simulation engine for inorganic materials properties is open sourced! Looking forward to the responses from the community GitHub: Doc: Blog:
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.
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RT @zany_cloud: 🚨Our Machine Learning Force Field Mattersim is now available! 🚨 Check it out here 👇 Feedback and s…
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RT @MSFTResearch: We're thrilled to announce the release of MatterSimV1-1M and MatterSimV1-5M on GitHub. These cutting-edge models are now…
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RT @MSFTResearch: Microsoft opens Microsoft Research Asia - Tokyo, advancing AI innovation across Asia-Pacific. The lab will focus on embod…
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RT @zany_cloud: 🚨The online application will close in 3 days, on October 31st! If you are interested in an internship with us at @MSFTRes…
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