New on #HPCSummerQuest: EquiDTB blends quantum chemistry with equivariant AI to reach DFT-level accuracy for large, flexible molecules. Trained on #MeluXina GPUs, cutting runtimes from weeks to days. ⚡️🧬🧠 Read more 👉 www.luxprovide.lu/advancing-de...

🗣️The #ieeenanoperu Chapter, in collaboration with #IEEE Nanotechnology Council, is organizing the first IEEE #LatinAmerican Conference on #Nanotechnology ( #ieeelanano), to be held in the historic city of Cusco, #Peru, from November 4-7, 2025. 👉 ieee-lanano.org @ieeexplore.bsky.social #IYQ2025

Today in the journal Science: BioEmu from Microsoft Research AI for Science. This generative deep learning method emulates protein equilibrium ensembles – key for understanding protein function at scale. www.science.org/doi/10.1126/...

🚨Our short review “Recent Advances in #MachineLearning and #CoarseGrained Potentials for #BiomolecularSimulations” has been accepted in @biophysj.bsky.social @cellpress.bsky.social! Many thanks to all authors for their contributions! This was a fantastic collaboration!👏 www.cell.com/biophysj/ful...

👋Just two weeks left to register for the #SusML Workshop 2025 in Dresden! susml.net Have a look at our exceptional lineup of speakers that will discuss current ML methods for the sustainable exploration of chemical spaces. #Psik @tudresden.bsky.social @digital-discovery.rsc.org @mpipks.bsky.social

From foundational datasets like QM9, QM7-X, ANI, Aquamarine, and GEOM (among others) to the recently published #QCML and now #TheOpenMolecules2025! The exploration of the #ChemicalSpace through #QuantumMechanical properties has progressed remarkably over the past five years. 😀 #sustainableML

The biggest paper I was ever part of appeared on arXiV today: "Roadmap on Advancements of the FHI-aims Software Package". Over 20 years of work. Immensely grateful to the 200+ people on this paper, who pushed our ability to simulate materials forward! #chemsky #compchemsky arxiv.org/abs/2505.00125

🚨Check out our recent #preprint on advancing Density Functional Tight-Binding method with equivariant NNs. We have been developing this project for a while, and we now present the results that highlight the enhanced scalability/transferability of our DFTB+ML approach. 🌐 chemrxiv.org/engage/chemr...

📢 Our article calling for a #FAIR database for #MolecularDynamics simulation data has now been peer-reviewed and published in @naturemethods.bsky.social 📖 Read it here: rdcu.be/ef6YX 📝 Support the statement: bit.ly/3zVS3qm #MDDB #FAIRdata #collaboration

👋Hallo there! The registration for the SusML workshop is OPEN! Join us in discussions on topics such as data-efficient ML-based methodologies and the inverse property-to-structure problem. See you at @tudresden.bsky.social in Germany! 👉More information: susml.net Stay tuned for more updates!😉

👋The MORE-Q dataset is finally out in Scientific Data! 😃 We have performed extensive electronic structure calculations to generate #quantumechanical property data for building blocks of mucin-derived olfactory #sensingdevices. 🌐You can read more about MORE-Q at: www.nature.com/articles/s41...

👋Preprint: check out our contribution to this short review where we discuss recent efforts toward developing robust #machinelearning potentials for #biomolecularsimulations with #quantummechanical accuracy. 👀 👉The preprint is available on @chemrxiv.bsky.social: chemrxiv.org/engage/chemr...

Pumped about #MachineLearning the adaptive exact exchange admixture in hybrid #DFT approximations: It can even cure the infamous spin-gap problem (see below). Just out in @ScienceAdvances with D Khan, A Price, B Huang and M Ach! @uoft.bsky.social #CompChem www.science.org/doi/10.1126/...

🚨The first preprint of the year is out on @chemrxiv.bsky.social! Great collaboration with Mirela, Alexander, Peter et al.!!👍 chemrxiv.org/engage/chemr... We introduce the QUID benchmark framework for large non-covalent systems, capturing frequent ligand-pocket interaction types.

Microsoft researchers introduce MatterGen, a model that can discover new materials tailored to specific needs—like efficient solar cells or CO2 recycling—advancing progress beyond trial-and-error experiments. www.microsoft.com/en-us/resear...