CSMLab in Cambridge
@CSMLab
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@fehmiCirak (Principal Investigator) @Cambridge_Eng @Cambridge_Uni
United Kingdom
Joined January 2012
Paper now published in the International Journal for Numerical Methods in Engineering. https://t.co/GpLbeZkaHF
onlinelibrary.wiley.com
Bayesian optimisation is an adaptive sampling strategy for constructing a Gaussian process surrogate to efficiently search for the global minimum of a black-box computational model. Gaussian proces...
⚡️Preprint alert: “Multi-view Bayesian optimisation in reduced dimension for engineering design” by Thomas Archbold, @IevaKazlauskai, @fehmiCirak
https://t.co/YPx7fyXsJb
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Paper now published in the International Journal for Numerical Methods in Engineering. https://t.co/oryubmxFcV
onlinelibrary.wiley.com
Optimised lightweight structures, such as shallow domes and slender towers, are prone to sudden buckling failure because geometric uncertainties/imperfections can lead to a drastic reduction in...
‼️New preprint: "Bayesian buckling load optimisation for structures with geometric uncertainties" by Tianyi Liu, @XiaoXiao_CAM, @fehmiCirak
https://t.co/sWemRNoYPs
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New Preprint: "A Quantum Spectral Method for Non-Periodic Boundary Value Problems", by @ekyvalens, Yiren Wang, @BurigedeL , Michael Ortiz and @fehmiCirak
https://t.co/WrYGaXsWLI
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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.
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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." https://t.co/tjCuxtQ7SL
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Congratulations to @Oguzhan021 for passing his PhD viva with minor corrections! 🎉🎊 Now, to finishing off the last paper.
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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! https://t.co/p5uLXSYgGe
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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 https://t.co/xofbciz0TQ
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‼️New preprint: "Bayesian buckling load optimisation for structures with geometric uncertainties" by Tianyi Liu, @XiaoXiao_CAM, @fehmiCirak
https://t.co/sWemRNoYPs
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⚡️Preprint alert: “Multi-view Bayesian optimisation in reduced dimension for engineering design” by Thomas Archbold, @IevaKazlauskai, @fehmiCirak
https://t.co/YPx7fyXsJb
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📜Preprint alert: "Mechanical State Estimation with a Polynomial-Chaos-Based Statistical Finite Element Method". An exciting collaboration with our esteemed colleagues at TU Braunschweig! https://t.co/oEnpVC3v3E|
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📣 New paper 📣 Variational Bayesian surrogate modelling with application to robust design optimisation Thomas Archbold, @IevaKazlauskai, @fehmiCirak Computer Methods in Applied Mechanics and Engineering (2024) https://t.co/EKGjIi2Z5A
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🔉A podcast on our paper: Towards quantum computational mechanics https://t.co/2IVcyj5dvO
https://t.co/iTUOnJdlkE (NotebookLM generated)
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⚡️Link to the published article: Towards quantum computational mechanics Burigede Liu, Michael Ortiz, Fehmi Cirak https://t.co/ob5MymSqkl
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Just uploaded the slides and Jupyter notebooks from the @UK_ACM @semni_social school on Data-Centric Engineering in Computational Mechanics - Day 3. https://t.co/bWUZfBJmAm
@Oguzhan021 @SP_Joes @fehmiCirak
github.com
Lecture slides and Jupyter notebooks used in the autumn school "Data-Centric Engineering in Computational Mechanics". - fcirak/ukacm_autumn_school_2024
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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). 🔗 https://t.co/QV10BT9HGc Paper by @BurigedeL, Michael Ortiz, and @fehmiCirak, recently accepted in CMAME.
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Third day of the UKACM-SEMNI autumn school! Today @fehmiCirak @CSMLab will deliver the lecture "Computational Mechanics: A Bayesian perspective". See you in a couple of hours! @UK_ACM @semni_social @ECCOMASofficial @IACM_Community
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An excellent opportunity for learning more about data-centric engineering in computational mechanics!
Last days to register to the UKACM-SEMNI Autumn School on data-centring engineering in computational mechanics. It is a virtual event and registration is free of charge! https://t.co/dUJSoYL64c
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Huge congratulations to Thomas Archbold for passing his PhD viva! 🎉🎉🎉Thank you to the two examiners, Professors Alice Cicirello and Ulrich Romer. 🙏🙏🙏 A preprint from Thomas's research: https://t.co/gaZDEvExox
arxiv.org
Surrogate models provide a quick-to-evaluate approximation to complex computational models and are essential for multi-query problems like design optimisation. The inputs of current deterministic...
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