Sunshine, science & good food! ☀️ We enjoyed the surprisingly nice weather in Bochum last week with the scientific team around a BBQ. Connecting outside the lab is crucial for recharging and inspiring better research! 🔬 #Science #Research #Teamwork #BeautifulMaterials
Botti-Marques research group
@beautifulmaterials.bsky.social
First principles & AI for materials discovery Ruhr University Bochum, ICAMS RC-FEMS
The Maximum Tc of Conventional Superconductors at Ambient Pressure Through analysis of electron-phonon calculations for over 20000 metals, we critically examine this question. arxiv.org/abs/2502.18281
Did you know that only 11 convex uniform tilings can perfectly cover a flat surface using regular polygons—where every vertex has the same surroundings? 🖨️ What we printed: ✅ 3 Regular (Platonic) Tilings – Made from a single polygon type: triangle, square, or hexagon.
🚀 Big News! We’re thrilled to share our latest work: “A Generative Material Transformer using Wyckoff Representation” 🌌 Discover Matra-Genoa – where AI meets Materials Science. 📄 Check out the pre-print: arxiv.org/abs/2501.16051 #AIforScience #GenerativeAI #MaterialsScience
3D printing crystal structures isn’t just fun—it helps us see and understand their geometry! In our group we want to make crystallography exciting and accessible. Today, we’re exploring efficient atomic stackings. 🧵
📣 We've benchmarked 7 leading universal Machine Learning Interatomic Potentials on their ability to predict phonon properties across ~10,000 semiconductors Some models are already matching DFT accuracy (MatterSim) while others need work (ORB, OMat24) Read here: arxiv.org/abs/2412.16551 #compchem
🎄✨ Our Crystallographic Christmas Tree! ✨🎄 Decorated with custom 3D-printed crystals and lattices, blending science and holiday cheer! Do you love it as much as we do? Happy holidays!
We’re very happy to launch our social media page of our combined research groups, led by Professors Silvana Botti and Miguel Marques, at Ruhr University Bochum! 🌟 We combine ab-initio methods and machine learning to design innovative materials for energy applications. ⚡ Follow us and repost 📢