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Claudio Zeni

@claudiozeni.bsky.social
1.4K followers 181 following 32 posts

Applying machine learning to challenges in materials science. Senior Researcher at Microsoft research AI for Science. Views are my own claudiozeni.pages.dev

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Claudio Zeni @claudiozeni.bsky.social · 07/07/2026
Going to @icmlconf.bsky.social this week, looking for exciting ML / Materials research. If you want to chat, you can find me at the @msftresearch.bsky.social booth on Wednesday at 16:00.
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Claudio Zeni @claudiozeni.bsky.social · 03/06/2026
📢 New Postdoc position We just opened a 2-year ML Postdoc position at @msftresearch.bsky.social AI for science. Come work with us on exciting challenges in #materials Link to job application: apply.careers.microsoft.com/careers/job/...
apply.careers.microsoft.com
AI for Science Residency - Machine Learning Resident | Microsoft Careers
Drive an ambitious, high-impact, research agenda on machine learning for materials. Develop efficient and expressive machine learning models that address fundamental materials science problems. Work w...
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Frank Noe @franknoe.bsky.social · 03/06/2026
Postdoc openings on experimental data integration integration into BioEmu-next, focusing on cryo-EM and binding affinities. Join us at @msftresearch.bsky.social Cambridge or Berlin. #AI #MachineLearning #Protein #Biology apply.careers.microsoft.com/careers/job/...
apply.careers.microsoft.com
AI for Science Postdoctoral Researcher - Biomolecular AI & Experimental Data Integration | Microsoft Careers
Design and scale experimental datasets for ML Develop workflows that connect noisy experimental signals to actionable model insights 1. Bridging Models with Real-World Experimental Signals Develop met...
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Daniel Zuegner @danielzuegner.bsky.social · 12/05/2026
Check out these exciting news about our MatterSim model!
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Claudio Zeni @claudiozeni.bsky.social · 12/05/2026
#MatterSim keeps getting better! 👩‍🔬 Experimentally synthesized high thermal conductor identified by MatterSim ⚡️ 3-5x inference speed-up 💪 MatterSim-MT: a new multi-task foundation model for in silico materials characterization ⬇️ Details below (1/6) #materials #mlip #lammps
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Microsoft Research @msftresearch.bsky.social · 12/05/2026
MatterSim is expanding what AI can do for materials science—from faster large-scale simulations to MatterSim-MT, a new multi-task model for simulating properties beyond potential energy surfaces alone. msft.it/6017vPamT
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Jan Hermann @hrmnn.net · 22/04/2026
Today we're sharing a major Skala update—new paper and model release. Skala is a deep-learning exchange-correlation functional for DFT that reaches 2.8 kcal/mol on GMTKN55, wins 32 of its 55 subsets, and leads on accuracy short of double hybrids at semi-local DFT cost
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Daniel Zuegner @danielzuegner.bsky.social · 21/04/2026
I'm excited rto attend ICLR in Rio this week. Hit me up if you'd like to meet up for coffee! I will also be at the @msftresearch.bsky.social booth to talk about MSR AI for Science on Thu 12-12:30pm, Fri+Sat 10-10:30am. See you there!
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Claudio Zeni @claudiozeni.bsky.social · 06/03/2026
If you are interested in AI, materials science, and working on hard problems with an amazing team, this is the place for you.
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Robert Pinsler @rpinsler.bsky.social · 05/03/2026
We are significantly expanding to accelerate our ambitious plans for AI-driven materials discovery at @msftresearch.bsky.social AI for Science. Looking for a Data Engineer, ML Engineer and Applied Scientist (UK/NL/DE). ⬇️ See job postings below ⬇️
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Derk Kooi @derkkooi.bsky.social · 27/01/2026
Skala community edition update: GPU4PySCF support is in ✅ That means Skala can plug into GPU-accelerated PySCF DFT workflows via GPU4PySCF (API-compatible with PySCF). Install docs are in the repo README: github.com/microsoft/sk... #DFT #PySCF #GPU #GPU4PySCF #CompChem
github.com
GitHub - microsoft/skala: Skala exchange-correlation functional
Skala exchange-correlation functional. Contribute to microsoft/skala development by creating an account on GitHub.
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Frank Noe @franknoe.bsky.social · 05/01/2026
#MachineLearning researchers: Join us at @msftresearch.bsky.social #ArtificialIntelligence for Science to push the frontier of AI for molecular Biology or AI for Chemistry. Work with @marwinsegler.bsky.social or my team in Berlin, Cambridge or Amsterdam. apply.careers.microsoft.com/careers/job/...
apply.careers.microsoft.com
Senior Machine Learning Researcher - MSR AI for Science | Microsoft Careers
Invent novel deep learning techniques for models of (bio)molecular structure, dynamics, reactivity and function. Design, implement, and iterate on model architectures and training algorithms (e.g., di...
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Marwin Segler @marwinsegler.bsky.social · 16/10/2025
Do you want to invent the future of Chemistry with us? We‘re looking for a "Digital Native” Organic Chemist to join our team at Microsoft Research AI for Science. We offer an amazing environment where you can do deep research with passionate and talented colleagues to solve problems that matter! 1/2
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Claudio Zeni @claudiozeni.bsky.social · 10/10/2025
Join our team in Cambridge (UK), Berlin (DE) or Amsterdam (NL)!
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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.
jobs.careers.microsoft.com
Search Jobs | Microsoft Careers
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Microsoft Research @msftresearch.bsky.social · 09/10/2025
The wait is over! Microsoft Research is sharing Skala, the new exchange-correlation functional, marking a major milestone in the accuracy/cost trade-off in DFT. Help us learn from your testing so we can improve. Available on Azure AI Foundry and GitHub. msft.it/6016sFDLY
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Paola Gori Giorgi @paolagorigiorgi.bsky.social · 09/10/2025
Skala is now available to everyone! Why are we releasing it? Because we’re not just aiming to publish a cool paper — we’re on a mission to bring DFT to chemical accuracy using deep learning. And to make real progress, we need the community’s feedback. #compchem
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Frank Noe @franknoe.bsky.social · 24/09/2025
Want to join our BioEmu team in @msftresearch.bsky.social AI for Science as an Intern? Berlin DE or Cambridge UK are available. Preference for candidates at the end of their PhDs, but open for everything: jobs.careers.microsoft.com/global/en/jo...
jobs.careers.microsoft.com
Search Jobs | Microsoft Careers
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Frank Noe @franknoe.bsky.social · 24/09/2025
Postdoc position available in the BioEmu team at @msftresearch.bsky.social AI for Science - Berlin DE or Cambridge UK. Looking for candidates with backgrounds in #MachineLearning #AI Biophysics or Bioinformatics jobs.careers.microsoft.com/global/en/jo...
jobs.careers.microsoft.com
Search Jobs | Microsoft Careers
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Jose Jimenez-Luna @jjimenezluna.bsky.social · 24/09/2025
Want to join the BioEmu team at MSR AI for Science? We have multiple intern (jobs.careers.microsoft.com/global/en/jo...) and one fixed-term postdoc (jobs.careers.microsoft.com/global/en/jo... positions available! Please share with potential candidates :)
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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.
jobs.careers.microsoft.com
Search Jobs | Microsoft Careers
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Claudio Zeni @claudiozeni.bsky.social · 31/07/2025
🚨Job opening🚨 Two positions in Cambridge/Amsterdam/Berlin as Senior Researcher and Senior Research Engineer to work with our materials discovery team at @MSFTResearch AI for science. We are the team behind MatterGen and MatterSim Links in thread #materialsscience #AIforScience
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Frank Noe @franknoe.bsky.social · 10/07/2025
BioEmu now published in @science.org !! What is BioEmu? Check out this video: youtu.be/LStKhWcL0VE?...
science.org
Scalable emulation of protein equilibrium ensembles with generative deep learning
Following the sequence and structure revolutions, predicting functionally relevant protein structure changes at scale remains an outstanding challenge. We introduce BioEmu, a deep learning system that...
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Marwin Segler @marwinsegler.bsky.social · 10/07/2025
Scalable emulation of protein equilibrium ensembles with generative deep learning www.science.org/doi/10.1126/...
science.org
Scalable emulation of protein equilibrium ensembles with generative deep learning
Following the sequence and structure revolutions, predicting functionally relevant protein structure changes at scale remains an outstanding challenge. We introduce BioEmu, a deep learning system that...
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Jose Jimenez-Luna @jjimenezluna.bsky.social · 10/07/2025
BioEmu is now on @science.org ! The revised version includes an upgraded model and makes a lot of MD simulation data internally generated at MSR available to the public. This took a lot of firepower from us in the last two years. www.science.org/doi/10.1126/...
science.org
Scalable emulation of protein equilibrium ensembles with generative deep learning
Following the sequence and structure revolutions, predicting functionally relevant protein structure changes at scale remains an outstanding challenge. We introduce BioEmu, a deep learning system that...
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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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Derk Kooi @derkkooi.bsky.social · 08/07/2025
Come join our wonderful team!
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Jan Hermann @hrmnn.net · 08/07/2025
Interested in our mission to make DFT more accurate and push what’s possible in quantum chemistry? Do you want to directly contribute? We're hiring a senior software engineer and a senior researcher: jobs.careers.microsoft.com/global/en/jo... jobs.careers.microsoft.com/global/en/jo...
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Adam Foster @adamefoster.bsky.social · 26/06/2025
I am very happy to share Orbformer, a foundation model for wavefunctions using deep QMC that offers a route to tackle strongly correlated quantum states! arxiv.org/abs/2506.19960 (1/n)
arxiv.org
An ab initio foundation model of wavefunctions that accurately describes chemical bond breaking
Reliable description of bond breaking remains a major challenge for quantum chemistry due to the multireferential character of the electronic structure in dissociating species. Multireferential method...
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Jan Hermann @hrmnn.net · 26/06/2025
🚀 Strong correlation is the Everest of quantum chemistry. Next to the coupled cluster highway, the multireference molecular terrain is underserved—gravel roads and promenades. With Orbformer, we're building a new infrastructure by marrying neural network wavefunctions with cost amortization at scale
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Frank Noe @franknoe.bsky.social · 26/06/2025
@msftresearch.bsky.social AI for science presents Orbformer, a foundation model for high accuracy quantum Chemistry. Strongly correlated states such as bond dissociation can be accurately computed without manually selecting active spaces or basis sets.
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John Gardner @jla-gardner.bsky.social · 23/06/2025
Excited to share the pre-print we’ve been working on for the last ~4 months: “Distillation of atomistic foundation models across architectures and chemical domains” Deep dive thread below! 🤿🧵
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Paola Gori Giorgi @paolagorigiorgi.bsky.social · 18/06/2025
So proud of this team and of this work!!
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Jan Hermann @hrmnn.net · 18/06/2025
Blog: microsoft.com/en-us/resear... Skala paper:📜 arxiv.org/abs/2506.14665 Dataset paper:💾 arxiv.org/abs/2506.14492
microsoft.com
Using deep learning to increase the accuracy of computational chemistry and density functional theory
Microsoft researchers achieved a breakthrough in the accuracy of DFT, a method for predicting the properties of molecules and materials, by using deep learning. This work can lead to better batteries,...
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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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Marwin Segler @marwinsegler.bsky.social · 18/06/2025
One for #compchemsky
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Megan Stanley @megstanley.bsky.social · 18/06/2025
Check out this super exciting work!
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peteratmsr.bsky.social @peteratmsr.bsky.social · 18/06/2025
We're excited to reveal this major advance in computational chemistry, an AI model called Skala @MSFTResearch for the exchange-correlation functional, accurate enough, and super fast, for precise in silico predictions of chemical experiments. An early access program is now open.
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Rianne van den Berg @riannevdberg.bsky.social · 18/06/2025
So proud of this work with our amazing team 🤩
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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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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 · 18/06/2025
Microsoft researchers achieved a breakthrough in the accuracy of DFT, a method for predicting the properties of molecules and materials, by using deep learning. This work can lead to better batteries, green fertilizers, precision drug discovery, and more. www.microsoft.com/en-us/resear...
Alt Text: A dark blue, wavy surface with multiple colorful spheres placed on it. The spheres are in various colors including red, green, blue, yellow, purple, and orange. Each sphere is surrounded by small white particles that appear to be floating around them. The background is a gradient of dark teal to black.
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Wessel @wessel.ai · 21/05/2025
Big news!! 🚀 Aurora, a foundation model for the Earth system, has been published in @nature.com. A massive congrats to the whole team! Very proud of this achievement, and thrilled to see that it’s finally out there. 😊 www.nature.com/articles/s41...
nature.com
A foundation model for the Earth system - Nature
Aurora, a new large-scale foundation model trained on more than one million hours of diverse geophysical data, outperforms operational forecasts in predicting air quality, ocean wave dynamics, tropica...
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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 · 26/04/2025
Normally I keep my posts strictly scientific, but this is an exception! I'm excited to reveal the game I've been working on with some friends: Five More Minutes. Wishlist it on Steam if you're interested tinyurl.com/y7njwdkx
tinyurl.com
Five More Minutes on Steam
Build your deck and strategize to defeat foes as you traverse videogame worlds. Choose between 3 unique starting genres, and combine them to create unstoppable combos! Five more minutes is a love lett...
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Microsoft Research @msftresearch.bsky.social · 19/02/2025
Nature published Microsoft research detailing our WHAM, an AI model that generates video game visuals & controller actions. We're releasing the model weights, sample data & WHAM Demonstrator on Azure AI Foundry to enable researchers to build on this work. www.microsoft.com/en-us/resear...
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Frank Noe @franknoe.bsky.social · 19/02/2025
The BioEmu-1 model and inference code are now public under MIT license!!! Please go ahead, play with it and let us know if there are issues. github.com/microsoft/bi...
github.com
GitHub - microsoft/bioemu: Inference code for scalable emulation of protein equilibrium ensembles with generative deep learning
Inference code for scalable emulation of protein equilibrium ensembles with generative deep learning - microsoft/bioemu
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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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Marwin Segler @marwinsegler.bsky.social · 23/01/2025
Open roles at MSR AI for Science: ML Research & ML Engineer If you passionate about Deep Learning and want to invent the future of scientific discovery jointly with an amazing team, please apply! jobs.careers.microsoft.com/global/en/jo... jobs.careers.microsoft.com/global/en/jo...
jobs.careers.microsoft.com
Search Jobs | Microsoft Careers
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Bas Veeling @basv.bsky.social · 16/01/2025
Super excited to share that MatterGen is published in Nature!
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