Felix Strieth-Kalthoff

@felix-s-k.bsky.social

Assistant Professor of Digital Chemistry (@uni-wuppertal.bsky.social) – building digital tools for synthesis and catalysis. Former: U Toronto (Postdoc) | U Münster (PhD) | MIT (Visiting Researcher) https://fsk-lab.github.io

Open PhD position in computational materials chemistry As part of my Villum Young Investigator project "Entropy in materials design: Accelerated discovery of disordered solid electrolytes", I am looking for PhD student to join my group. Please share with anyone interested! #compchem #chemsky

PhD Stipend/Integrated PhD Stipend In Computational Materials Chemistry

A PhD stipend or integrated PhD stipend in computational materials chemistry is available. Development of new sustainable energy materials, including materia...

vacancies.aau.dk

More BayesOpt work out on arXiv! What we chemists call "finding general conditions" is rather tricky for BO. We try to benchmark how it's done best. TLDR: Exploration of both parameter and task space is key. Check the thread by the one and only @spschmid.bsky.social – thanks to him and the team! 🍛

Stefan P. Schmid@spschmid.bsky.social · 2y ago

🚀 Looking for reaction conditions that work well for multiple substrates? CurryBO can help🍛 Now out on arXiv: arxiv.org/abs/2502.18966 A short explanation thread 👇

link 📈🤖 BoTier: Multi-Objective Bayesian Optimization with Tiered Composite Objectives (Haddadnia, Grashoff, Strieth-Kalthoff) Scientific optimization problems are usually concerned with balancing multiple competing objectives, which come as preferences over both the outcomes of an experiment (e.

My first post here on #bsky – what better occasion than our group's first preprint? BoTier (Multiobjective Optimization with Multiple Tiers of Objectives) is now on arXiv. This project was actually born out of necessity – more details in the 🧵 below. Please check it out! arxiv.org/abs/2501.15554

BoTier: Multi-Objective Bayesian Optimization with Tiered Composite Objectives

Scientific optimization problems are usually concerned with balancing multiple competing objectives, which come as preferences over both the outcomes of an experiment (e.g. maximize the reaction yield...

arxiv.org