CSMLab in Cambridge @CSMLab
@fehmiCirak (Principal Investigator) @Cambridge_Eng @Cambridge_Uni csmlab.org United Kingdom Joined January 2012-
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👩💻Check out the release of our statFEM library on GitHub. We welcome feedback, questions, and suggestions! Thanks to @SP_Joes for setting it up! github.com/fcirak/statFEM
📍New paper: “Neural parametric representations for thin-shell shape optimisation” by @XiaoXiao_CAM and @fehmiCirak. Just accepted for Engineering with Computers (40th Anniversary Special Issue). arxiv.org/abs/2604.06612
⚡️Preprint alert: “A quantum spectral solver for periodic incompressible Stokes flow” by Juan M Gimenez, @fehmiCirak, Michael Ortiz
📍If you’re attending wccm-eccomas2026.org, come along to the talks by @SP_Joes (quantum, Monday), Yiren Wang (quantum, Tuesday), @ekyvalens (quantum, Thursday), @Yaswanth_SaiJ (statFEM, Friday), and @fehmiCirak (statFEM, Friday). Looking forward to seeing you there!
⚡️Preprint alert: “QAFE2: Quantum Accelerated Multiscale Finite Element Analysis” by Yiren Wang, Michael Ortiz, @fehmiCirak arxiv.org/pdf/2604.06130
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.
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
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