Bas Veeling
@basv.bsky.social
π€ 46
π₯ 58
π 1
reposted by
Bas Veeling
Claudio Zeni
12 months ago
π’ Paper + code release ππ» After 2 years of work, I'm excited to announce our newest paper, MatterGen, has been published in Nature!
www.nature.com/articles/s41...
We are also releasing all the training data, model weights, model code, and evaluation code on GitHub!
github.com/microsoft/ma...
add a skeleton here at some point
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Super excited to share that MatterGen is published in Nature!
add a skeleton here at some point
12 months ago
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reposted by
Bas Veeling
Daniel Zuegner
12 months ago
Super excited to share that the MatterGen code is now public on GitHub!
github.com/microsoft/ma...
add a skeleton here at some point
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reposted by
Bas Veeling
Frank Noe
about 1 year ago
Super excited to preprint our work on developing a Biomolecular Emulator (BioEmu): Scalable emulation of protein equilibrium ensembles with generative deep learning from
@msftresearch.bsky.social
ch AI for Science.
www.biorxiv.org/content/10.1...
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reposted by
Bas Veeling
Claudio Zeni
about 1 year ago
π¨Our Machine Learning Force Field Mattersim is now available! π¨ Check it out here π
msft.it/6013oBZLt
The force field is designed to be used on a vast range of temperatures and pressures, try it yourself :) Feedback and suggestions are very welcome!
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GitHub - microsoft/mattersim: MatterSim: A deep learning atomistic model across elements, temperatures and pressures.
MatterSim: A deep learning atomistic model across elements, temperatures and pressures. - microsoft/mattersim
https://msft.it/6013oBZLt
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reposted by
Bas Veeling
about 1 year ago
πExcited to announce major new breakthroughs in our Aurora foundation model! Our team (
@cbodnar.com
,
@wessel.ai
,
@megstanley.bsky.social
,
@a-lucic.bsky.social
, Anna Vaughan) has achieved unprecedented results across multiple Earth system forecasting tasks. Here's what's new... π§΅
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