Rianne van den Berg
@vdbergrianne
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Principal research manager at Microsoft Research Amsterdam. Formerly at Google Brain and University of Amsterdam. PhD in condensed matter physics.
Amsterdam, The Netherlands
Joined November 2016
🚀 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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Join our mission to make DFT accurate and reliable with deep learning, learn more at
microsoft.com
Advancing the frontier of quantum chemistry by combining deep learning with Density Functional Theory (DFT) to unlock unprecedented accuracy and scalability in electronic structure simulations. Our...
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Want to help us bringing the Skala functional into the materials world?Senior Research Engineer in DFT for Materials Science
careerhub.microsoft.com
Implement and maintain evaluation pipelines for exchange correlation functionals for materials using software packages like VASP, CP2K, QuantumEspresso, FHI-aims, PySCF, or similar Work cross-funct...
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Interested in helping us with high-performance computing, GPU implementation, open source, and DFT software? Senior Research Software Engineer
careerhub.microsoft.com
Collaborate with internal and external parties on integrating our deep learning models in high performance DFT software frameworks, targeting both CPU and GPU-based frameworks Prepare and maintain...
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Excited about developing and scaling our machine-learning code and data infrastructure? Senior Research Engineer Machine Learning
careerhub.microsoft.com
Develop and maintain tools, models and technologies for building, training, optimizing and scaling machine learning solutions. Architect, design, and implement scalable and robust solutions for...
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The coming years will split companies into two groups: those that become AI-native and those left catching up. The innovators who harness AI now will define the winners of tomorrow. Follow me for strategic insights on leading through the AI revolution.
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📢 Hiring into three new roles in our team at MSR AI for Science, working on deep learning for DFT! 💼 I'll be at #NeurIPS in San Diego, so please reach out if interested! 👇🏻
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Very exciting work by my colleagues @MSFTResearch AI for Science!
MLFFs 🤝 Polymers — SimPoly works! Our team at @MSFTResearch AI for Science is proud to present SimPoly (SIM-puh-lee) — a deep learning solution for polymer simulation. Polymeric materials are foundational to modern life—found in everything from the clothes we wear and the food
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MLFFs 🤝 Polymers — SimPoly works! Our team at @MSFTResearch AI for Science is proud to present SimPoly (SIM-puh-lee) — a deep learning solution for polymer simulation. Polymeric materials are foundational to modern life—found in everything from the clothes we wear and the food
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Our deep learned exchange-correlation functional Skala is finally available to try out 🎉 Tell us what works and where skala can be improved!
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. https://t.co/XbOp9pC7ew
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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
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. https://t.co/XbOp9pC7ew
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Deadline for this opportunity is extended until sept 25.
Time’s running out! Lead generative AI research for molecular dynamics in our lab AIMLeNS. - Scale our NeurIPS/ICLR-published implicit transfer operators to revolutionize simulations. Postdoc position closes 10. July. Apply now: https://t.co/cXJc7NCY1a
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Researchers have developed a #DeepLearning system called BioEmu that rapidly generates diverse protein conformations, enabling fast, accurate insights into protein flexibility and function. Learn more this week in Science: https://t.co/Pe15hm9F52
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BioEmu now published in @ScienceMagazine !! What is BioEmu? Check out this video: https://t.co/PAj96iKvR7
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. https://t.co/WwKjj5B0eb
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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. https://t.co/WwKjj5B0eb
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Both openings are available in Berlin (🇩🇪Germany), Amsterdam (🇳🇱The Netherlands) and Cambridge (🇬🇧UK).
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Interested in our mission @MSFTResearch to make DFT more accurate and push what’s possible in quantum chemistry? Do you want to directly contribute? We have 2 job openings! 🧪Senior researcher: https://t.co/P9nZkwweM5 ⚛️Senior software engineer:
🚀 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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Microsoft Research invites organizations of all sizes to join the DFT Research Early Access Program to explore the potential of our new Skala functional and accelerate innovation across industries through faster and more accurate density functional theory. https://t.co/KKL9gHIUez
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Extremely excited to be sharing the output of my internship in @MSFTResearch's #AIForScience team: "Understanding multi-fidelity training of machine-learned force-fields" 🤖🧪
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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.
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. https://t.co/LuH7ZFgyVv
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🚀 After two years of intense research, we’re thrilled to introduce Skala — a scalable DL density functional that hits chemical accuracy on atomization energies and matches hybrid-level performance on main group chemistry — all at the cost of a semi-local functional. ⚛️🔥🧪⚗️🧬
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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. https://t.co/LuH7ZFgyVv
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