Pascal Friederich

Juniorprofessor at the Karlsruhe Institute of Technology, interested in artificial intelligence and machine learning for material science and chemistry.

[Pascal Friederich @P_Friederich]

Open (computer science) PhD positions in #MachineLearning for #MaterialsScience and #Chemistry:

https://t.co/x9MYkBUuZi
https://t.co/FlV7T19Vtn
https://t.co/25J87w90IX

Please share in your networks!
#AI4Science #MaterialsDiscovery #MolecularMachineLearning #SelfDrivingLabs

[Pascal Friederich @P_Friederich]

@Aixelo_Inc has formed a Scientific Advisory Board to provide strategic guidance for the company I co-founded. Check https://t.co/d04e5Xq0r5 to learn more about the SAB and our exciting AI-enterprise solutions that support the chemical and materials industries.

[Pascal Friederich @P_Friederich]

Excited to share our #ICML2024 paper! We use active learning with conditional normalizing flows to perform efficient coarse-grained molecular simulations. More here: https://t.co/Oc68HIjkzY #MachineLearning #CompChem Who recognizes the image below? Likely the most accurate ever!

[Pascal Friederich @P_Friederich]

Really excited to be at #CCSC2024! Looking forward to a great week of talks and discussions about exploring the chemical compound space!

[CCSC2024 @CCSC2024]

Professor Pascal Friederich @P_Friederich
from the Karlsruher Institut für Technologie stance on multi-explanation graph attention network for the last presentation before lunch break #CCSC2024

[Pascal Friederich @P_Friederich]

We are organizing a CZS Summer School about #MachineLearningInChemistry. 9-13 Sept @KITKarlsruhe, Germany. More information: https://t.co/8PXA3cUAqb Speakers include Jörg Behler, Stephan Günnemann, Geemi Wellawatte, and many more! #MolecularDesign #MLPotentials #SelfDrivingLabs

[Pascal Friederich @P_Friederich]

Congratulations @TimoSommer_! Looking forward to seeing the first paper of your PhD!

[Timo Sommer @TimoSommer_]

So excited! My first first-author paper based on my Master's thesis is out: https://t.co/gxQprXTQQ2
Thanks to Roland Willa, Jörg Schmalian and @P_Friederich for all their support!
@KITKarlsruhe #condmat

[Green Energy Materials Series @GEM__series]

Excited for the upcoming #NGSE8 conference kicking off next week! 🚀
Don't miss out on the opportunity to join this event with amazing speakers such as:
@P_Friederich @lonepair @KirchartzThomas @maloima @Sergei_Imaging
Secure your spot now⤵️⤵️
🔗https://t.co/SpqjBbK3WN

[Pascal Friederich @P_Friederich]

Thank you very much, @Cluster3DMM2O! I am looking forward to being part of the cluster and working with you all!

[3D Matter Made to Order @Cluster3DMM2O]

We warmly welcome T.T.-Prof. @P_Friederich from the ITI & INT @KITKarlsruhe and Prof. Gáspár Jékely from the COS @UniHeidelberg as new Associate Principal Investigators and wish both of them a great start in our Cluster!

[Pascal Friederich @P_Friederich]

Interested in self-driving labs, automation & machine learning for energy materials? Apply for our #SummerSchool in Karlsruhe, 18-22 Sept!
Registration, speakers, and more information: https://t.co/J1np3lscCz
Apply soon: Early bird registration until July 20!
Please share!

[Pascal Friederich @P_Friederich]

@Indibandara @KITKarlsruhe @fz_juelich @GerCanMAC I am very sorry but this will be an in person event. We think about recording the lectures in case the lecturers agree. Check the GC-MAC website after the summer school!

[Pascal Friederich @P_Friederich]

The German-Canadian Materials Acceleration Center (GC-MAC) is organizing a Summer School on "MAPs for energy materials - Automated experiments, simulations and machine learning" (Karlsruhe, Germany, 18-22 Sept 2023)
More information: https://t.co/J1np3lscCz
Please forward and RT!

[SIMPLAIX @simplaix]

Today, we start the workshop on "#machinelearning for multisclae molecular modeling". The workshop hashtag is: #simplaix_ml3m

[Wuttke Group for Science - Stefan Wuttke - @wuttkescience]

We are happy to invite Ukrainian students and researchers and beyond at the “European Chemistry School for Ukrainians”, which will be held online in May-June. We plan to involve 18 internationally renowned speakers from all around Europe:

https://t.co/HanAVX1XPa

Please retweet!

[Pascal Friederich @P_Friederich]

Register (soon!) for the 787. WE-Heraeus-Seminar on Accelerated Discovery of New Materials!
https://t.co/0ghgFJQ2Fe

[Pascal Friederich @P_Friederich]

#MRSFall2022 and #NeurIPS2022 in one week! After great AI sessions at the MRS meeting, I am now looking forward to NeurIPS and the #AI4Mat workshop! Who else is there? @Materials_MRS @NeurIPSConf

[Pascal Friederich @P_Friederich]

Also check out or Graph Neural Network library kgcnn where many of the latest models are implemented in a user friendly way! pip install kgcnn https://t.co/LcLWg0GpGe

[Pascal Friederich @P_Friederich]

Interested in an overview and comparison of #GraphNeuralNetworks and their application in materials science and chemistry? Check out our new review paper in @CommsMaterials https://t.co/0dSuOMP0Ih #CompChem

[Pascal Friederich @P_Friederich]

How can simulations and machine learning contribute to scientific understanding?
@NatRevPhys https://t.co/UPcKIoeZzN with @MarioKrenn6240 @A_Aspuru_Guzik and many more!

[Mario Krenn @MarioKrenn6240]

Super excited that our "On Scientific Understanding with Artificial Intelligence" is published in @NatRevPhys https://t.co/wovnNY8NgO 🥳🤩🎶

With many amazing colleges&friends in @A_Aspuru_Guzik's lab @UofT @VectorInst

Hope it inspires wild new directions in AI 4 science! 1/n

[Machine Learning: Science and Technology @MLSTjournal]

See what's trending in @MLSTjournal right now at https://t.co/MuHFY5M5kj featuring articles by @A_Aspuru_Guzik @eigensteve @FrankNoeBerlin @MarioKrenn6240 @pschwllr @P_Friederich @teodorolaino @NArtrith @GroupKaestner #machinelearning #AI #compchem #materials #quantum #physics