Postdoc @ DTU Energy | Novo Nordisk Foundation Grantee | Visiting Postdoc @ Oxford Chemistry | Materials chemistry, ML & automation | Forbes 30 under 30 Europe
Our Perspective on 'Machine Learning for Analysis of Experimental Scattering and Spectroscopy Data in Materials Chemistry' is now on @ChemRxiv 👇
https://t.co/xRydZP99YZ
@kirsten_mj @raghavian@keeeto2000
A thread 🧵1/8
Excited to explore how #compchem & AI are advancing amorphous material design in our latest @NatRevMater Perspective.
Big thanks to @vl_deringer, Ata, @SodeAndy, & @thesiminegroup for the great collaboration!
Read more: https://t.co/jQ6wzapuBQ
Can we “design” amorphous materials with useful properties? In a Perspective in @NatRevMater, we argue that #compchem and AI are bringing us closer towards this ambitious goal.
Thank you @YuanbinLiu2, Ata, @SodeAndy, & @thesiminegroup! 🙂
Read more here: https://t.co/wF31ENvtNP
It is @kdd_news week! If you are #KDD2024 do check out our work on a new large-scale inorganic materials dataset for graph ML. First authos on this work @UlrikFJ1 and @fupperlidt will be there!
Paper: https://t.co/byuwB7TNnP
#KDD2024
Excited that our paper that introduces #CHILI: a new, large-scale graph #ML dataset for inorganic materials chemistry will be presented at @kdd_news!
Congratulations to @UlrikFJ1, @fupperlidt for a strong effort.
@kirsten_mj @SodeAndy
Big congrats to @SodeAndy - Another young scientist on the Forbes list of 30 under 30 Europe. Andy is collaborating with our Pioneer Center #TeamCAPeX, @DTUtweet 👇 https://t.co/H74HbuQgou
🚀 Huge congratulations to @SodeAndy for landing on the prestigious Forbes list!
His AI-driven 'self-driven lab' revolutionizes material discovery. Collaborating with #TeamCAPeX, he's accelerating progress in nanomaterials synthesis.
🌟 Keep inspiring, Andy! #Power2Xperts
If you find BO for materials discovery interesting, take a look at our GitHub:
https://t.co/MEBfMCTb4C
Here, you can find examples of how to use the benchmark and follow the scoreboard.
Thanks to the organisers of this amazing Bayesian optimisation hackathon. I learned a lot! ☺️
Our team developed a simulation of a self-driving laboratory for materials discovery serving to benchmark the efficiency of various BO algorithms 🤖 @gabe__graves@AppiahAmpofoSa1
I'm pumped for the BO hackathon tomorrow! Nearly 400 registrants and 36 confirmed projects and counting 🚀 The hackathon website with all the necessary info is at https://t.co/xoSVhid70V. See you soon!
We constructed two different baseline algorithms which find the optimal synthesis parameters through a bruteforce approach in 4808 and 6400 steps.
Using Bayesian optimisation we can improve this to tens of experiments.