@andysanker.bsky.social fra Pionercentret Capex er med på Berlingske Talent 100👏 Han vil sætte fart på udviklingen af nye avancerede materialer til den grønne omstilling via selvkørende laboratorier. 🚀 www.berlingske.dk/talent-100/h...

Han forsker i et felt, du med garanti ikke kender til. Men hans forskning kan spille en central rolle i fremtiden

Robotteknologi, materialeforskning og kunstig intelligens. Tre ord, der kan gøre de fleste rundtossede. Men ikke 31-årige Andy Sode Anker, der i sin forskning arbejder for at fremskynde den grønne oms...

berlingske.dk

🚀 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? 🤖✨⚛️

Autonomous interpretation of atomistic scattering data

Materials with bespoke properties have long been identified by computational searches, and their experimental realisation is now coming within reach through autonomous laboratories. Scattering experim...

arxiv.org

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

Machine-learning-driven modelling of amorphous and polycrystalline BaZrS$_{3}$

The chalcogenide perovskite material BaZrS$_{3}$ is of growing interest for emerging thin-film photovoltaics. Here we show how machine-learning-driven modelling can be used to describe the material's ...

arxiv.org

🚀 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

@maxivlaboratory.bsky.social · last yr.

“It works! The system works!”, cheers erupted at DanMAX beamline as researachers confirmed their inventive autonomous nanoparticle synthesis system was a success. Combining machine learning + robotics, the technology promises to accelerate the discovery of functional materials. Read:

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

Somerville JRF Named One of 30 Best Young Climate Scientists in the World - Somerville College Oxford

Dr Andy S. Anker, a Junior Research Fellow at Somerville College, has been recognised as one of the world’s 30 most promising young scientists at the Inflection Award, the world’s first-ever award ded...

some.ox.ac.uk

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

The amorphous state as a frontier in computational materials design

Nature Reviews Materials - Amorphous materials are increasingly central components of key technologies, but their structures remain challenging to study. This Perspective highlights how recent...

rdcu.be

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