Lukas Grajciar
@lukasgrajciar.bsky.social
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📥 4
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reposted by
Lukas Grajciar
Carlos Bornes
2 days ago
Glad see this one out. If you work with
#zeolites
and want to use the model for
#NMR
predictions, shielding and EFG tensors, feel free to reach out. We'll releasing the model soon. Big thanks to
@bm-chiheb.bsky.social
,
@vlderinger.bsky.social
,
@chrisheardsci.bsky.social
,
@lukasgrajciar.bsky.social
.
add a skeleton here at some point
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reposted by
Lukas Grajciar
Carlos Bornes
17 days ago
Check out our main research page for more information about our work
physchem.cz/research/nac...
If you have any specific questions about the projects, don't hesitate to reach out directly to the PIs, Lukáš and Chris!
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reposted by
Lukas Grajciar
Carlos Bornes
17 days ago
4️⃣4. Machine-Learning-Driven Modelling of Zeolite Synthesis:
shorturl.at/rVaYb
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reposted by
Lukas Grajciar
Carlos Bornes
17 days ago
3️⃣Developing machine learning tools for reactive atomistic material modelling:
shorturl.at/3lppF
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reposted by
Lukas Grajciar
Carlos Bornes
17 days ago
2️⃣Operando Modelling of porous catalytic nanomaterials via machine learning:
shorturl.at/cQWOQ
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reposted by
Lukas Grajciar
Carlos Bornes
17 days ago
1️⃣ML-assisted design and characterization of oxide-supported metal nano-catalysts
shorturl.at/Ol351
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reposted by
Lukas Grajciar
Carlos Bornes
17 days ago
We have 4 new fully funded PhD programs available in our group in Prague
@sciencecharles.bsky.social
! Join us for cutting-edge research into nanomaterials using state-of-the-art Machine Learning approaches, with international collaborations. Details on the projects below! 👇
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