CSMLab in Cambridge @CSMLab
@fehmiCirak (Principal Investigator) @Cambridge_Eng @Cambridge_Uni csmlab.org United Kingdom Joined January 2012-
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⚡️Preprint alert: “QAFE2: Quantum Accelerated Multiscale Finite Element Analysis” by Yiren Wang, Michael Ortiz, @fehmiCirak arxiv.org/pdf/2604.06130
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Preprint accepted in Computer Methods in Applied Mechanics and Engineering!
New Preprint: "A Quantum Spectral Method for Non-Periodic Boundary Value Problems", by @ekyvalens, Yiren Wang, @BurigedeL , Michael Ortiz and @fehmiCirak arxiv.org/abs/2511.11494
Paper now published in the International Journal for Numerical Methods in Engineering. onlinelibrary.wiley.com/doi/full/10.10…
⚡️Preprint alert: “Multi-view Bayesian optimisation in reduced dimension for engineering design” by Thomas Archbold, @IevaKazlauskai, @fehmiCirak arxiv.org/abs/2501.01552
Paper now published in the International Journal for Numerical Methods in Engineering. onlinelibrary.wiley.com/doi/full/10.10…
‼️New preprint: "Bayesian buckling load optimisation for structures with geometric uncertainties" by Tianyi Liu, @XiaoXiao_CAM, @fehmiCirak arxiv.org/pdf/2501.04553
New Preprint: "A Quantum Spectral Method for Non-Periodic Boundary Value Problems", by @ekyvalens, Yiren Wang, @BurigedeL , Michael Ortiz and @fehmiCirak arxiv.org/abs/2511.11494
Excited to welcome @YaswanthSai to the team as a postdoc! Yaswanth joins us from the University of Illinois Urbana-Champaign and will be focusing on Bayesian inference and PDEs with uncertain/imperfect boundaries.
CSMLab in Cambridge retweeted
I am looking forward to attending ADMOS 2025 next week and giving a plenary lecture on "Learning from uncertain models and limited data for digital design and twinning." admos2025.cimne.com/plenary_lectur…
Congratulations to @Oguzhan021 for passing his PhD viva with minor corrections! 🎉🎊 Now, to finishing off the last paper.
Please apply or share: Research Assistant/Associate in Computational Mechanics at University of Cambridge, focusing on computational methods for uncertain/imperfect geometries. Join our team! jobs.cam.ac.uk/job/50399/
If you happen to be in Cambridge, don't miss Arnaud's seminar on Population-Based Inference in Mechanics. Friday 07 February 2025, 15:00-16:00 talks.cam.ac.uk/talk/index/228…
‼️New preprint: "Bayesian buckling load optimisation for structures with geometric uncertainties" by Tianyi Liu, @XiaoXiao_CAM, @fehmiCirak arxiv.org/pdf/2501.04553
@istvan_csanady Nice summary! This is our attempt to combine implicits and breps in the simulation context. arxiv.org/abs/2401.07823
⚡️Preprint alert: “Multi-view Bayesian optimisation in reduced dimension for engineering design” by Thomas Archbold, @IevaKazlauskai, @fehmiCirak arxiv.org/abs/2501.01552
📜Preprint alert: "Mechanical State Estimation with a Polynomial-Chaos-Based Statistical Finite Element Method". An exciting collaboration with our esteemed colleagues at TU Braunschweig! arxiv.org/abs/2412.05037|
📣 New paper 📣 Variational Bayesian surrogate modelling with application to robust design optimisation Thomas Archbold, @IevaKazlauskai, @fehmiCirak Computer Methods in Applied Mechanics and Engineering (2024) sciencedirect.com/science/articl…
CSMLab in Cambridge retweeted
🔉A podcast on our paper: Towards quantum computational mechanics youtube.com/watch?v=bODsbS… sciencedirect.com/science/articl… (NotebookLM generated)
⚡️Link to the published article: Towards quantum computational mechanics Burigede Liu, Michael Ortiz, Fehmi Cirak authors.elsevier.com/sd/article/S00…
Can quantum computing revolutionize computational mechanics? We introduce a PDE solver that achieves exponential speedup, reducing complexity from O(Nᶜ) to O((log N)ᶜ). 🔗 arxiv.org/abs/2312.03791 Paper by @BurigedeL, Michael Ortiz, and @fehmiCirak, recently accepted in CMAME.
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