Aria Mansouri Tehrani

Postdoc at @MIT with @tesssmidt
Previously at Materials Theory Group at
@ETH_Materials with @NicolaSpaldin
PhD with @BrgochChemistry

[Aria Mansouri Tehrani @MansouriTehrani]

@xiangfu_ml Glad to see this work out! Nicely done

[Jakoah Brgoch @BrgochChemistry]

Join Our Team! I am looking for TWO postdocs @UHouston @uh_chem!
1️⃣ Luminescent Materials: Ideal for those with a background in machine learning, materials synthesis, or spectroscopy. Focus on ML-guided discovery for lighting/display materials 💡 🖥️

[Nicola Spaldin @NicolaSpaldin]

We have an opening for a postdoctoral researcher in the Materials Theory group at ETH. If you're interested in figuring out how to quantify whether one material is more or less chiral than another then I'd be happy to hear from you: https://t.co/Imwhv9F2Go

[Jakoah Brgoch @BrgochChemistry]

Awesome to see the Brgoch group and alumni @ShrutiHariyani @ChemViswanathan @xamberlim @MansouriTehrani Jacob, Gordon, and Anton getting together at #NASSCC! Sorry I couldn’t join this year! Thanks to @MichelleDolgos for organizing!

[Aria Mansouri Tehrani @MansouriTehrani]

@sineatrix Impressive and beautiful work!

[Aria Mansouri Tehrani @MansouriTehrani]

https://t.co/d7AJJ7csjq

[Aria Mansouri Tehrani @MansouriTehrani]

It was a pleasure to make a small contribution to a huge effort to review advances in #AI4Science led by @ShuiwangJi with a focus on incorporating symmetry in physical systems.
@tesssmidt

[Shuiwang Ji @ShuiwangJi]

🔬 An in-depth yet intuitive discussion on symmetry, as well as explainability, out-of-distribution generalization, large language models, and uncertainty.

📖 Access categorized lists of resources to enhance learning and education.

🌐 Website: https://t.co/3p0EYy37ch.

[Physics World @PhysicsWorld]

Nicola Spaldin @NicolaSpaldin is proof you don't need to have studied physics to do great physics research: she trained as chemist and sees herself as a material scientist and is now doing world-leading work on ferroelectrics.

https://t.co/lLZxC3xpbv

[Yi-Lun Liao @yilunliao]

🧵(1/6) We propose EquiformerV2 with state-of-the-art results on all OC20 tasks and AdsorbML.

Joint work with @bwood_m , @abhshkdz from @OpenCatalyst and @tesssmidt .

Besides, thank @_akhaliq for tweeting before.

Paper: https://t.co/KF4bYI9lhT
Code: https://t.co/kYJDiN9shx

[Nicola Spaldin @NicolaSpaldin]

Food for thought in this blog post on Peer Review from @a_m_mastroianni. Thanks to @taylordsparks for the tip! https://t.co/8C050OMLPX

[Aria Mansouri Tehrani @MansouriTehrani]

@BrgochChemistry @ShrutiHariyani Congrats!! Incredible PhD - Can't wait to see what's next for you

[Aria Mansouri Tehrani @MansouriTehrani]

@BastienGrosso @MSCActions @scanlond81 @apbartok Very well deserved indeed

[Aria Mansouri Tehrani @MansouriTehrani]

An exceptionally enjoyable computation-experiment collaboration - It was great to see REXS beamline struggles and night shifts firsthand!

[Nicola Spaldin @NicolaSpaldin]

Charge multipole correlations in Cs2TaCl6 unhidden in collaboration with the @EPFL_en team in our @ERC_Research Synergy grant: https://t.co/aPCBeCo6Bg

[Bastien Grosso @BastienGrosso]

Exciting to see it published! Thank you for the nice collaboration 😉 and I feel happy that our prediction of such an interesting structure 🐛 got confirmed! Any other phase to be discovered? 😬https://t.co/ALAhIkkudd

[Bastien Grosso @BastienGrosso]

Very happy that my poster about discovering new nitride perovskites was selected among the top 10%!
In case you missed it or want to have a look…
Thanks to @scanlond81 @lonepair @danwdavies and @1stbz for the collaboration!

[Bastien Grosso @BastienGrosso]

Interested in discovering low-energy polymorphs of your favourite material? We propose a method combining ML+DFT+Symmetry

In collaboration with @NicolaSpaldin and @MansouriTehrani

Physics-Guided Descriptors for Prediction of Structural Polymorphs https://t.co/frScoHebPc

[Aria Mansouri Tehrani @MansouriTehrani]

Charge quadrupoles or hexadecapoles? Check out our latest paper just posted on arXiv to learn about the role of charge multipoles on the phase transition in Cs2TaCl6 @NicolaSpaldin
https://t.co/0Ki3vrIToU

[Aria Mansouri Tehrani @MansouriTehrani]

Fantastic workshop, learning so much about equivariant machine learning in so many different flavors! #selw22

[Jigyasa Nigam @jigyasa_nigam]

⁦@MansouriTehrani⁩ talks about treading a balance between machine learning and domain knowledge for machine learning of functional materials including a cool study of structural polymorphs of ferroelectrics! #selw22

[Quintin Meier @MeierQuintin]

Check out our new preprint on the machine-learning enabled first principles calculation of temperature dependent properties in quantum paraelectric KTaO3. https://t.co/IuaEOl9vRj

[Nicola Spaldin @NicolaSpaldin]

Bastien and Aria are trying to drag me into the 21st Century with our collaboration using Machine Learning to predict new structural phases of BiFeO3: https://t.co/bgF1BfeKEd @BastienGrosso @MansouriTehrani