Prof. Amir Karton

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Prof. Amir Karton

Prof. Amir Karton

@Lab_initio

iChem Therefore iAm. Founding Director, Institute for Strategic AI (ISA) | Visiting Researcher @MSFTResearch | Professor of Computational & Materials Chemistry

NSW, Australia Katılım Ekim 2014
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Dozent Tobias
Dozent Tobias@klein_activist·
@Lab_initio @MSFTResearch Finally, a reference dataset large enough to train ML potentials properly. 73k W1-F12 points change what I can model in materials.
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Andy_Weeble_Weaver😷⚫🦋andy-weaver.bsky.social🗿
“The newly-launched Institute for Strategic AI [UNE] has been using the tech to automate the discovery and testing of potential solvents that can isolate components of the silicon wafers efficiently.”
Renew Economy@renew_economy

As Australia’s love for #solar threatens to pile into a serious waste stream, researchers are turning to AI to extract more value from retired #panels.. reneweconomy.com.au/aussie-researc…

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Orbital
Orbital@OrbitalHardware·
We're proud to be part of the beta release of @nvidia's ALCHEMI Toolkit. This toolkit is a unified environment for building custom atomistic simulation workflows, built on the same work that powered speedups to Orb-v3, the latest version of our simulation model Orb. Recap from March’s Orb-v3 update: Up to 1.7x faster inference on large systems (up to 100,000 atoms) and up to 33x faster inference on batched small systems with TorchSim support. Our forthcoming OrbMol-v2 model will leverage components from the toolkit including: → PME electrostatics for periodic Coulomb interactions → The MTK integrator for batched constant-pressure molecular dynamics The result: materially lower inference time.
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Prof. Amir Karton retweetledi
Frank Noe
Frank Noe@FrankNoeBerlin·
Skala is now clearly the best DFT functional in the widely accepted community benchmark GMTKN55, and is faster than other high-accuracy functionals. If you're generating DFT data today, go ahead and use it! @MSFTResearch #AI #Science #MachineLearning
Rianne van den Berg@vdbergrianne

Today we're sharing a major Skala update: new paper and model release. Skala is a deep-learned XC functional for DFT: 2.8 kcal/mol on GMTKN55, wins 32/55 subsets & surpasses SOTA hybrids in accuracy at semi-local cost. Paper: arxiv.org/abs/2506.14665 Code: github.com/microsoft/skala

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Mohammed AlQuraishi
Mohammed AlQuraishi@MoAlQuraishi·
Does AlphaFold’s latent space encode only the native state or something like a distribution over conformations? We begin to answer this question with ConforNets, a mechanism for producing diverse states, or very specific ones, via inference-time adaption of OF3p’s latent space👇
Minji Lee@m1nj12

We introduce ConforNets, a mechanism for conformational control in AlphaFold3 models - SoTA at producing diverse conformations on every multistate benchmark (N=104) - Novel capability: transfer state from one protein to another Outperforms BioEmu, ConforMix and AFsample3 🧵1/8

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Satya Nadella
Satya Nadella@satyanadella·
Thanks to Prime Minister @AlboMP for the warm welcome today. We are making our largest investment in Australia to date, committing A$25 billion to expand AI and cloud capacity, strengthen cybersecurity, and help people and organizations across the country build digital skills.
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Chin-Wei Huang
Chin-Wei Huang@chinwei_h·
Exciting new update of Skala. This table should speak for itself: Skala is now the leading density functional in main-group chemistry surpassing previous SOTA hybrid functional at a cheaper, semi-local cost. #compchem #ai4science
Chin-Wei Huang tweet media
Rianne van den Berg@vdbergrianne

Today we're sharing a major Skala update: new paper and model release. Skala is a deep-learned XC functional for DFT: 2.8 kcal/mol on GMTKN55, wins 32/55 subsets & surpasses SOTA hybrids in accuracy at semi-local cost. Paper: arxiv.org/abs/2506.14665 Code: github.com/microsoft/skala

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Rianne van den Berg
Rianne van den Berg@vdbergrianne·
Today we're sharing a major Skala update: new paper and model release. Skala is a deep-learned XC functional for DFT: 2.8 kcal/mol on GMTKN55, wins 32/55 subsets & surpasses SOTA hybrids in accuracy at semi-local cost. Paper: arxiv.org/abs/2506.14665 Code: github.com/microsoft/skala
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Renana Poranne
Renana Poranne@Aromaticist·
🎶 If you like it - put a ring on it! 🎵 But... where?? 🤔 Alex's (@awahab_pg) new paper maps the rules of the game for pyrene-based systems! 🥳 From Rings to Properties: Understanding the Effect of Annelation on Pyrene pubs.acs.org/doi/10.1021/ac…
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Renana Poranne
Renana Poranne@Aromaticist·
Not enough space to everything I have to say on this momentous occasion, but the most important thing is: THANK YOU! To all the people who supported, encouraged, worked with me, and made me love my job each and every day. ❤️ For more details, see SI: linkedin.com/posts/renana-g…
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Schulich Faculty of Chemistry, Technion@SchulichT

We’re thrilled to share that Renana Gershoni-Poranne has been promoted to Associate Professor with tenure! 🌟 A brilliant scientist, dedicated mentor, and inspiring colleague — we couldn’t be prouder. Congratulations, @Aromaticist ! 👏 #Proud #FacultySuccess #Chemistry #Technion

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Prof. Amir Karton
Prof. Amir Karton@Lab_initio·
Thrilled to receive the 2025 Research Collaboration Leadership Award from @UniNewEngland A huge thank you to all my incredible #CompChem and experimental collaborators — this award is for you! 🙏 Grateful to #UNE for fostering an environment of high-impact research partnerships
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