Quercus Hernández @QuercusEtAl
AI Scientist @MistralAI || Ex @unizar @BrownUniversity @Penn || Researcher in Scientific ML, Computational Mechanics and Model Order Reduction. quercushernandez.github.io Zaragoza, Spain Joined April 2021-
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Super excited to see good old friends and learn about the latest advances in deep learning for computational mechanics. Feel free to reach out and meet at the conference. See you there! 😄 #WCCM2026 #ECCOMAS #MistralAI #AI4Engineering #DeepLearning #hiring
Round 2 of summer conferences! After the amazing experience in Seoul @icmlconf, I'm flying to Munich to attend the #WCCM-@ECCOMASofficial Conference. This time, I'll present in a keynote talk some of the cool work we developed at #EmmiAI, now @MistralAI.
Ready for @icmlconf at Seoul! I'll be around the @MistralAI booth, so feel free to stop by and chat about the exciting things we're building. Looking forward to grabbing a coffee and meeting everyone! #ICML2026 #MistralAI #AI4Science
Many thanks to my incredible collaborators Max Win, Thomas C. O'Connor, Paulo E. Arratia, and Nat Trask, and to everyone who read the preprint, shared feedback, and discussed the work! #PNAS #MachineLearning #ComputationalPhysics #Thermodynamics #MaterialsScience #Physics #AI
We show how the model is able to recover statistical correlation of MD systems, and learn emergent behavior in complex measured colloidal systems.
Our paper, "Data-driven particle dynamics: Structure-preserving coarse-graining for emergent behavior in non-equilibrium systems," has now been published in PNAS! 🎉
In the new #AI4Engineering team at @MistralAI, we'll continue building world-class models across critical industries like aerospace, automotive, and energy. PS: We're hiring! We're looking for Applied Scientists and Simulation Domain. Link below! 👇 jobs.lever.co/mistral/249d0e…
Excited to share that #EmmiAI is joining @MistralAI! 🚀🎉 This last year at Emmi has been an amazing journey. Together with an incredible team, we've been able to transfer research technology into industrial engineering problems while having a lot of fun along the way.
Thanks to Duan Scott for bringing together such a strong community! #ComputationalDesign #LargeEngineeringModels #PhysicsAI #InjectionMoulding #CDFAM
Looking forward to seeing the work from teams like @PhysicsxAI and @nvidia, and to connecting with people in the space. If you’re around, let’s catch up: lnkd.in/eVyyEsMK
Super excited to attend CDFAM Barcelona this year, representing #EmmiAI together with @SophiaEscheu! I'll share some details behind our latest release, NeuralMould (lnkd.in/dgbx-hKR), and how AI models might start reshaping the way we think about engineering design.
It was also great catching up with good old friends, and making new connections with some of the world's top AI researchers. Hopefully we'll see each other again at the next one! #EmmiAI #AI4Science #Engineering #Simulation
Already back home from @NeurIPSConf 2025! I had an amazing time at the Emmi AI booth, seeing so many people fascinated by our real-time simulation demos and having inspiring conversations. Great pleasure to be with my Emmi colleagues: truly the best #AI4Simulation people! 💫😄
I'll also be presenting a poster on my latest work at @Penn on coarse-graining models at the "Machine Learning and the Physical Sciences" Workshop (Saturday 6th). See you there! ⚛️ #AI4Simulation #NeurIPS2025 #CoarseGraining #Physics
Next week I'll be at @NeurIPSConf in San Diego (Dec 1-7)! Hmu if you wanna grab a coffee and chat about #AI4Science, or come by the Emmi AI booth to see the cool stuff we're building! 🚀💫
📝 Read the preprint: researchgate.net/publication/39… 💻 Explore the code: github.com/PIMILab/DataDr…
I'm very excited to announce that our latest work "Data-driven particle dynamics: Structure-preserving coarse-graining for emergent behavior in non-equilibrium systems" is now available online! 🥳🥳
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