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Tian Xie

@xie-tian.bsky.social

149 followers 170 following 15 posts

Principal Research Manager & Project lead @ Microsoft Research AI for Science; AI for materials; Previously @ MIT, DeepMind, Google X. Views my own.

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Tian Xie @xie-tian.bsky.social · 10/10/2025

🚨We are hiring! 🚨 Want to join a highly talented, collaborative team and build the next frontier model for materials design? Apply to the following roles and join our materials team at @msftresearch.bsky.social AI for Science. Location can be Cambridge UK or Amsterdam NL or Berlin DE.

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Tian Xie @xie-tian.bsky.social · 08/09/2025

I am honored to join this year’s MIT technology review’s innovators under 35 list. Amazing to see the impact of generative AI on materials design being recognized in this prestigious list. Credits to the whole MatterGen team for making this happen.

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Tian Xie @xie-tian.bsky.social · 31/07/2025

Want to join our efforts @msftresearch.bsky.social AI for Science to push the frontier of AI for materials? We are the team behind MatterGen & MatterSim and we have 2 job openings! Each can be in Amsterdam, NL, Berlin, DE, or Cambridge, UK.

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Microsoft Research @msftresearch.bsky.social · 10/07/2025

Today in the journal Science: BioEmu from Microsoft Research AI for Science. This generative deep learning method emulates protein equilibrium ensembles – key for understanding protein function at scale. www.science.org/doi/10.1126/...

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Paola Gori Giorgi @paolagorigiorgi.bsky.social · 18/06/2025

Very excited and proud of this incredible team effort!

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Jan Hermann @hrmnn.net · 18/06/2025

🚀 After two+ years of intense research, we’re thrilled to introduce Skala — a scalable deep learning density functional that hits chemical accuracy on atomization energies and matches hybrid-level accuracy on main group chemistry — all at the cost of semi-local DFT ⚛️🔥🧪🧬

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Tian Xie @xie-tian.bsky.social · 18/06/2025

Huge congrats to our DFT team in achieving the first big milestone towards a universal XC functional. It is a key step towards bridging the gap between computation and experiments for the computational design of molecules and materials.

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Microsoft Research @msftresearch.bsky.social · 08/05/2025

Thermal conductivity is critical in modern electronics, but in a post-Moore’s Law world, the need for novel structures that surpass the heat transfer properties of silicon is essential. Learn how AI is helping scientists discover these next-gen materials. msft.it/6013SnPAN

Illustrated image of Hongxia Hao and Bing Lv. "Abstracts: A Microsoft Research Podcast” runs along the bottom.

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Claudio Zeni @claudiozeni.bsky.social · 11/02/2025

⭐️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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Tian Xie @xie-tian.bsky.social · 16/01/2025

Excited to finally announce the publication of MatterGen on Nature. MatterGen represents a new paradigm of materials design with generative AI. We are releasing the code of MatterGen under MIT license. Look forward to seeing how the community will use the tool and build on top of it.

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