🚀 New preprint out! “Autonomous interpretation of atomistic scattering data” → arxiv.org/abs/2510.05938 Scattering data is still mostly analysed by hand. But what if robots could do it themselves? 🤖✨⚛️

BaZrS3 is an emerging solar-cell material ☀️ In a preprint led by @biancapasca.bsky.social, we describe an ML potential that can tackle the structural complexity of amorphous and polycrystalline BaZrS3. Very happy to see this online! Read more at arxiv.org/abs/2506.01517

🚀 Bringing self-driving labs to the synchrotron! 🚀 Excited to share our latest work introducing an autonomous synthesis method explicitly designed to target atomic-scale structures! 📝 Read the preprint here: lnkd.in/dmfzwEDQ I appreciate the support from @novo-nordisk.bsky.social

Pocket guide to materials discovery calculation methods (repost from the other place)

🎉🎉🎉Huge Somerville congratulations to our Junior Research Fellow Dr Andy S. Anker, who has just been named one of the world’s 30 best young climate scientists at the inaugural Inflection Award. Read the full story: www.some.ox.ac.uk/news/somervi... #InflectionAward2025 #inflection

Still taking it all in 🥹 being in Paris for the Inflection Award was a once-in-a-lifetime experience. Humbled to be named one of the 30 best young scientists working on climate solutions and to stand alongside such an incredible cohort of researchers pushing the boundaries of what’s possible.

Can we “design” amorphous materials with useful properties? We argue that #compchem & AI are bringing us closer towards this ambitious goal: rdcu.be/d3JD6

🚨 Introducing graph-pes: a unified framework for building, training and using graph-based machine-learned models of potential energy surfaces! 🚨 #compchem #ML #ChemSky #CompChemSky