Ryota Tomioka

Ryota Tomioka

ryotat.bsky.social

Researcher at Microsoft Research AI for Science https://scholar.google.co.uk/citations?user=TxdeO-UAAAAJ&hl=en

👤 Joined on 16 November 2024

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  • 16 Kas 2024, 17:56
    🎉 Bluesky'e katıldı - İlk kullanıcı adı: @ryotat.bsky.social

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📣 Save the dates 📅 We are organizing a Benzon Symposium on "Protein structure prediction and design" with what I think is an amazing set of speakers Meeting will take place in Copenhagen 🇩🇰 on Sept. 1–4, 2025, and abstract submission will open in March (benzon-foundation.dk/benzon-sympo...)

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📣 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

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If people find MSA subsampling useful, they will likely find MDGen very useful and they will definitely find BioEmu useful.

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Jan Hermann
08 December 2024 10:31

I’d say it’s a combination. Some benchmarking was done by authors during the exploration phase (explicit?), some after by the community (implicit?). Indeed not many people call every free choice they verified empirically a hyperparameter—which they should

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K
22 December 2024 07:53

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