All good things must come to an end: @SvKlostermann defended her Ph.D. yesterday. Congratulations, Dr. Klostermann 🎉👩🎓! It was a pleasure working with you - all the best for your future (continuing in battery research) 🔋.
How do lithium-sulfur batteries 🔋🪫work in detail? @SvKlostermann's latest simulations 💻⚗️🧪with @KoehnGroup and M.R. Buchmeiser show why sulfurized poly(acrylonitrile) is a promising cathode material. Open-access in PCCP. https://t.co/IhzbAlPQhn
We used Gaussian process regression to optimize the choice of grid points for vibrational structure theory. 💻⚗️Thanks to the Rauhut group for this nice cooperation! Thanks to @SimTechStuttga2 for 💰. https://t.co/IhuCWY118r
Interested in cathode materials for lithium-sulfur batteries? 💻🪫🔋How can a nitrogen-rich aromatic carbon backbone help? Have a look @SvKlostermann's contribution! Open-access. https://t.co/GtGlrl4oQ1
Our preprint on applying #MachineLearning to chemically complex multicomponent alloys is finally out! Our #GaussianMoment neural networks (https://t.co/wY5b4pE9Zt) and #MomentTensor potentials show high accuracy and exceptional performance in comparison to classical potentials.
Thanks to @GroupKaestner and Jörg Main at Stuttgart for hosting me to give talks at the Institute for Theoretical Chemistry (on @SustainableNano) yesterday, and at the Institute for Theroetical Physics (on TST) today. And for a great turnout at both!
Our latest Advance Article from @ViktorZaverkin, @DHolzmueller I. Steinwart & @GroupKaestner: "We show how to efficiently generate better data sets for neural network interatomic potentials using batch active learning." Read the full article #openaccess: https://t.co/m9D7nbf7bo
Looking for a PhD or postdoc position in #catalysis research?
Then check out our job offers in CRC 1333 and become part of our interdiciplinary and international team, based in Stuttgart, Germany!
➡️https://t.co/sy28lqAyZq
#Materials#Chemistry#Simulation#dataScientist