Stefan Schmid (Neurips 2024) (@stefan_p_schmid) 's Twitter Profile
Stefan Schmid (Neurips 2024)

@stefan_p_schmid

Doctoral Researcher in the Digital Chemistry Laboratory at ETH Zurich | ESOP 2021 Scholar | MSc Chemistry ETH Zurich | Accelerated catalyst discovery with AI

ID: 1502651423300927491

linkhttp://stefanpschmid.com calendar_today12-03-2022 14:23:22

58 Tweet

206 Followers

260 Following

Magdalena Lederbauer (@maglederb) 's Twitter Profile Photo

Introducing GlossaGen - the ultimate glossary generation tool for academics! 🚀 Leverage the power of large language models to effortlessly create glossaries from PDFs & text files, saving you precious time and mental breakdowns. 🧠 #AcademicLife #ProductivityHack

Stefan Schmid (Neurips 2024) (@stefan_p_schmid) 's Twitter Profile Photo

ML is taking over catalysis🚀 in our new paper together with Leon Schlosser, Frank Glorius and Kjell Jorner, we examine how ML is applied throughout organocatalysis and how the field will develop! Check it out now on ChemRxiv: doi.org/10.26434/chemr… Digital Chemistry Laboratory Glorius Group

ML is taking over catalysis🚀 in our new paper together with Leon Schlosser, <a href="/GloriusFrank/">Frank Glorius</a> and <a href="/kjelljorner/">Kjell Jorner</a>, we examine how ML is applied throughout organocatalysis and how the field will develop! Check it out now on <a href="/ChemRxiv/">ChemRxiv</a>: doi.org/10.26434/chemr…
<a href="/DCL_ETHZ/">Digital Chemistry Laboratory</a> <a href="/GloriusGroup/">Glorius Group</a>
Kjell Jorner (@kjelljorner) 's Twitter Profile Photo

Our group is recruiting a PhD student for a project on computer-aided catalyst design. Reposts and spreading the word to interested people in your network appreciated!

Bode Group (@bode_lab) 's Twitter Profile Photo

Would you like a data set of 40,000 reactions for evaluating your reactivity prediction models? We made it, so you don’t have to. 1/10

Would you like a data set of 40,000 reactions for evaluating your reactivity prediction models?

We made it, so you don’t have to. 1/10
Javier Perez-Ramirez (@catalysis_eth) 's Twitter Profile Photo

Would you be motivated to do a PhD in our research group ETH Zurich associated with NCCR Catalysis at the interface between experimental catalysis and digital chemistry? 👇PRT linkedin.com/posts/javier-p…

Magdalena Lederbauer (@maglederb) 's Twitter Profile Photo

It is an immense honor to have our project GlossaGen headline the global LLM Hackathon for Applications in Materials and Chemistry *mega* thread 🙌 It is mesmerizing to see the projects built by the community — Looking forward to checking each of them out!👀📑

Jeff Guo (@jeffguo__) 's Twitter Profile Photo

Molecular generative models can *directly* optimize for synthesizability using retrosynthesis models! Check out initial results which can be an alternative to synthesizability-constrained generation Pre-print: arxiv.org/abs/2407.12186… Code: github.com/schwallergroup… (1/2)

Molecular generative models can *directly* optimize for synthesizability using retrosynthesis models!

Check out initial results which can be an alternative to synthesizability-constrained generation

Pre-print: arxiv.org/abs/2407.12186…
Code: github.com/schwallergroup…

(1/2)
Gary Tom (@mistergtom) 's Twitter Profile Photo

Our review on all things self-driving labs for chem 🧪 and mat sci now at 🏡on Chemical Reviews. Check it out doi.org/10.1021/acs.ch… (free and open-access!🌟) A huge effort led by myself Felix Strieth-Kalthoff Martin Seifrid Alan Aspuru-Guzik, ft. Stefan Schmid (Neurips 2024) and many more 👇

Felix Strieth-Kalthoff (@felix_s_k) 's Twitter Profile Photo

The "AI + Robotics" field has exploded in recent years. To stay on top of what's happening, we've put together a comprehensive review: "Self-Driving Labs for Chemistry and Materials Science", with Martin Seifrid & Alan Aspuru-Guzik – now out in Chemical Reviews! pubs.acs.org/doi/10.1021/ac…

D-CHAB (@eth_dchab) 's Twitter Profile Photo

Machine learning (ML) is a hot topic in almost every field, but how can expertise be built up in a discipline developing so quickly? Doctoral students D-CHAB ETH Zurich created the student training format "Data & ML lunch". Learn more in the interview👇 chab.ethz.ch/en/news-and-ev…

Machine learning (ML) is a hot topic in almost every field, but how can expertise be built up in a discipline developing so quickly? Doctoral students <a href="/ETH_DCHAB/">D-CHAB</a> <a href="/ETH_en/">ETH Zurich</a> created the student training format "Data &amp; ML lunch".  Learn more in the interview👇

chab.ethz.ch/en/news-and-ev…
Marc Kielmann (@henloeditorfren) 's Twitter Profile Photo

beilstein-journals.org/bjoc/articles/… Editor's pick: Catalysing (organo-)catalysis: Trends in the application of #MachineLearning to enantioselective #organocatalysis By Frank Glorius Frank Glorius , Kjell Jorner Kjell Jorner & co-workers. Just published diamond open access in #BJOC 🔓

Kjell Jorner (@kjelljorner) 's Twitter Profile Photo

Our group is recruiting a PhD student for a project on combining traditional expert features with deep learning for reaction prediction. Reposts and spreading the word to interested people in your network appreciated! jobs.ethz.ch/job/view/JOPG_…

Kjell Jorner (@kjelljorner) 's Twitter Profile Photo

Our group is recruiting a postdoctoral researcher for a project on reactive machine learning potentials. Reposts and spreading the word to interested people in your network appreciated! jobs.ethz.ch/job/view/JOPG_…

Philippe Schwaller (he/him) (@pschwllr) 's Twitter Profile Photo

We are hiring (resharing appreciated)! Given a few recent successful grant applications (I got my SNSF Starting Grant 🚀), we are extending the LIAC (LIAC at EPFL) team and have multiple openings (PhD/postdoc) for 2025. Are you interested in #AI4Science and machine learning

We are hiring (resharing appreciated)!

Given a few recent successful grant applications (I got my SNSF Starting Grant 🚀), we are extending the LIAC (<a href="/SchwallerGroup/">LIAC at EPFL</a>) team and have multiple openings (PhD/postdoc) for 2025.

Are you interested in #AI4Science and machine learning
Stefan Schmid (Neurips 2024) (@stefan_p_schmid) 's Twitter Profile Photo

I will be at #NeurIPS next week, presenting work on Bayesian Optimization over curried functions at the AI4Mat workshop. We use it to identify general reaction conditions neurips.cc/virtual/2024/1… If you are around and interested in talking #BayesOpt or #AI4Science, let’s meet

Kjell Jorner (@kjelljorner) 's Twitter Profile Photo

Another chance to join our group! We are recruiting a PhD student in digital ligand engineering for nanocatalysis. Reposts and spreading the word to interested people in your network appreciated! jobs.ethz.ch/job/view/JOPG_…