Andy Sode Anker
@andysanker.bsky.social
Postdoc @ DTU Energy | Novo Nordisk Foundation Grantee | Visiting Postdoc @ Oxford Chemistry | Materials chemistry, ML & automation | Forbes 30 under 30 Europe | Inflection Awardee 2025
🚀 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? 🤖✨⚛️
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
October 14, 2025 at 8:16 AM
🚀 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? 🤖✨⚛️
Scattering data is still mostly analysed by hand. But what if robots could do it themselves? 🤖✨⚛️
Reposted by Andy Sode Anker
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
June 11, 2025 at 7:06 AM
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
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
“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:
Inventive AI and robotic self-driving lab accelerates material discoveries – MAX IV
Andy Sode Anker (PI) showing the self-driving lab set-up at DanMAX experimental hutch (credit: Gabriela Kaloka/MAX IV)
buff.ly
May 28, 2025 at 10:29 AM
🚀 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
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
Reposted by Andy Sode Anker
Pocket guide to materials discovery calculation methods (repost from the other place)
May 1, 2025 at 8:17 AM
Pocket guide to materials discovery calculation methods (repost from the other place)
Reposted by Andy Sode Anker
🎉🎉🎉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
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...
www.some.ox.ac.uk
March 17, 2025 at 11:30 AM
🎉🎉🎉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
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.
March 13, 2025 at 11:33 AM
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.
Reposted by Andy Sode Anker
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
December 18, 2024 at 5:13 PM
Can we “design” amorphous materials with useful properties? We argue that #compchem & AI are bringing us closer towards this ambitious goal: rdcu.be/d3JD6
Reposted by Andy Sode Anker
🚨 Introducing graph-pes: a unified framework for building, training and using graph-based machine-learned models of potential energy surfaces! 🚨
#compchem #ML #ChemSky #CompChemSky
#compchem #ML #ChemSky #CompChemSky
December 9, 2024 at 8:53 AM
🚨 Introducing graph-pes: a unified framework for building, training and using graph-based machine-learned models of potential energy surfaces! 🚨
#compchem #ML #ChemSky #CompChemSky
#compchem #ML #ChemSky #CompChemSky