🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

We proudly present our 524 page book on equivariant convolutional networks. Coauthored by Patrick Forré, Erik Verlinde and Max Welling. maurice-weiler.gitlab.io/#cnn_book [1/N]

Congrats to Dr. Shuang Yang for an Excellent PhD Defense Shuang has studied a.o. the effect of post-transition metals (Bi, Pb & Sn) on the properties of Cu for electrochemical CO2 reduction. Well done & wishing you all the best for the future, Shuang! Utrecht University MCEC Research Center

Happy to share the work of Pamela_Benzan, just accepted in Angewandte Chemie, on the addition of O–H, S–H, and N–H bonds to an anionic #silicon center! Work done at Faculty of Science, Utrecht University Institute for Sustainable & Circular Chemistry Department of Chemistry (Utrecht University), funded by Marie Skłodowska-Curie Actions. onlinelibrary.wiley.com/doi/10.1002/an…

Join us and learn more about ML for Simulating Complex #EnergyMaterials with Non-Crystalline Structures from Dr. Nong Artrith during the 4TUHighTechMaterials Workshop on the role of #machinelearning in Molecular Discovery TU Delft, 21 March '24. Full programme: 🌐4tu.nl/htm/joint-mate… 4/

1st pymatgen release of the year v2024.1.26 now on PyPI! Big thanks to Alex for a significant (backwards compatible!) refactor of the VASP input sets (to enable merging atomate2 input sets into pmg). Also in this release: over a dozen bug fixes, ... github.com/materialsproje…

Alex Urban Chemical Engineering has received the U.S. National Science Foundation Early Career Award, one of the highest honors for junior faculty. Urban is being recognized for his research in building materials for clean energy applications, and will use the NSF funding to address critical challenges that arise

⚡️🔋☀️Attending the 2nd Edition of the NWO NERA (NL) Symposium, '#EnergyTransition - Collaborating towards a Sustainable Future' I think our ML/AI models could also be useful 😊#NWONERA Come see our poster & look forward to opportunities to work together ☀️Nong Artrith Ngene Peter

David Reichman, JCP Associate Editor and Professor of Chemistry at Columbia University, wishes JCP a Happy 90th Birthday 🎈 - a journal he has looked to and respected since he was an undergraduate. Columbia Chemistry

👩‍🔬🧑‍🔬⚛️ Just wrapped up our 1st #eChems lecture Faculty of Science, Utrecht University. Prof. M Koper explores electrocatalytic reaction rates. Stay tuned for the upcoming online version 🎓🧪Pathways to Sustainability UU Organizer Nong Artrith @wardvanderstam Ngene Peter Arnaud Thevenon Department of Chemistry (Utrecht University) shorturl.at/fuz34

This looks amazing: capturing carbon from seawater and generating hydrogen as a byproduct. Given the rate the climate is changing I am sometimes wondering why we are not pouring billions into these projects and put ITER / LHC on the backburner for a while. newatlas.com/energy/equatic…

SUNER-C Consortium Meeting at Utrecht University (1) Last week we've organized the SUNER-C 4th Consortium Meeting. On Thursday the event took place in the Speelklok Museum in the city centre; on Friday we were in the David de Wiedbuilding, where there was a.o. a lab tour. SUNERGY

Bye, Viennese Schnitzel; hello, California rolls! I've just moved to College of Chemistry. I'm looking forward to new challenges and collaborations. And I thank the tremendous support and lovely colleagues from ISTAustria over the past few years.

Glad to share our recent work on modeling the cation-disorder in halide superionic conductors. 🔋 An interesting study integrating cluster expansion Monte Carlo & machine learning interatomic potential molecular dynamics. 👇

Paper shared on arXiv showing catalyst AI/ML models trained on datasets like FAIR Chemistry can generalize to solid solutions like high entropy alloys (HEA)! This is exciting because the design space of HEAs (with >5 components) is combinatorially large. arxiv.org/abs/2403.09811

We got started! Excited to have a great line up of speakers and a large audience in the X Theatre Hall today TU Delft. #materialsscience #MachineLearning

Taking a picture of Hanna discussing the photo rules of the CECAM workshop on #machinelearning for electronic structure in Berlin. So meta.

Very interesting roundtable on "How to best combine AI and physical modelling to accelerate discoveries with societal impact?" moderated by Nicola Marzari, with Laura Toni, Adrian Roitberg 🏳️‍⚧️ & Michele Ceriotti at the #CECAM55 conference!

BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”

One of the largest materials datasets and SOTA ML potentials are open-sourced by FAIR Chemistry. Immensely proud to be part of the team that delivers open science and catalyzes community involvement and advances in this field. x.com/OpenCatalyst/s…

Refining catalyst–adsorbate interatomic potentials with transfer learning in ænet-PyTorch From optimizing catalyst interfaces to extending molecular dynamics (MD) simulations, linking broad chemical knowledge to specific adsorbate systems often poses challenges in materials