👩💻Check out the release of our statFEM library on GitHub. We welcome feedback, questions, and suggestions! Thanks to @SP_Joes for setting it up!
https://t.co/AuBRq4KtaN
📍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). https://t.co/LAPUzVE4n4
📍If you’re attending https://t.co/AWI1tUZInl, 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!
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
⚡️Preprint alert: “Multi-view Bayesian optimisation in reduced dimension for engineering design” by Thomas Archbold, @IevaKazlauskai, @fehmiCirak
https://t.co/YPx7fyXsJb
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
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."
https://t.co/tjCuxtQ7SL
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