@BuwogDE hello, the elevetor at Rheinallee 4f , Ludwigshafen has stopped working since 2 days. You guys have not even sent someone to check the situation until now. We are under emergency as my wife is pregnent and baby is due this week. Can you sort this out ASAP?
🚀 MLIPX is Live! 🌟
Check out our new open-source code from @BASF for evaluating machine-learned interatomic potentials. Dive into advanced evaluation methods, visualisation tools, and more! Special shout out to @PythonFZ and Sheena agarwal! https://t.co/iKt1b2d8I5
🚨Arslan's and @lopanits paper extending our high-entropy alloy potential to surfaces is now officially published on @JPhysMaterials https://t.co/P5rvKAsrAw All sorts of defective structures, for up to 25 elements *simultaneously* 🤩
Our latest work on 'Large–Scale Computational Screening of Molecular Organic Semiconductors Using Crystal Structure Prediction' (w @graeme_day @COSMO_EPFL and @SandipDeScience) is now online @ChemMater https://t.co/Pedf1FnWIt
Hot from the press, a review on accelerated path integral methods, together with Tom at @Stanford. Lots of work, but totally worth it. On the reading list for the @cecamEvents school this coming June #PI2018 😁 https://t.co/E8KqlqaMfF
An international collaboration led by ETH physicists has used machine learning on "Piz Daint" to teach the CSCS- supercomputer how to predict the outcomes of quantum experiments. The results could prove to be essential for testing future quantum computers: https://t.co/vTDYwtzu9n
Are you ready to hear our story? On the 1st of March, at 18:00, at the Rolex Forum Center, we will bring the sunshine to this windy winter with our presentation of the fifth mode of transportation, one that will revolutionize the infrastructure in Switzerland and beyond! #epfloop
For those who haven't seen it: here's a robust algorithm that recognizes motifs such as H-bonds, coordination polyhedra, and protein secondary structure, helping interpret, rationalize systems' stability and behavior. @COSMO_EPFL https://t.co/2mCcb5GmLy