#TYC_EMW7
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Panel discussion at the end of the first day of #TYC_EMW7 #chemsky #compchem
July 24, 2024 at 5:43 PM
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Jeremy Frey giving the first talk after lunch at #TYC_EMW7 about the UK Physical Sciences Data Infrastructure #chemsky
A picture of Jeremy Frey giving his talk
July 25, 2024 at 1:44 PM
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#TYC_EMW7
zwijcompchem.bsky.social Martijn Zwijnenburg @zwijcompchem.bsky.social · Jul 24
Volker Deringer from Oxford giving the second invited talk of the 7th Thomas Young Centre energy materials workshop, talking about modeling complex materials like SiO, which segregates in nanoscale silicon and silica domains, using machine learned potentials #TYC_ENW7 #compchem
A picture of Volker Deringer giving his talk
July 24, 2024 at 5:38 PM
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Becky Greenaway from Imperial giving the third invited talk of the 7th Thomas Young Centre Materials Workshop, showcasing what can be done by robotic high-throughput synthesis & characterisation in combination with theory #TYC_EMW7 #compchem #chemsky
July 24, 2024 at 3:45 PM
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Cool talk by Anthony Onwuli from Imperial on learning representations of atoms in inorganic materials #TYC_EMW7 #compchem #chemsky
Picture of the talk by Anthony Onwuli
July 24, 2024 at 6:24 PM
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Olivier Henrotte giving the final invited talk of this morning's session of #TYC_EMW7, talking about characterising complex photocatalytic systems #chemsky
A picture of Olivier Henrotte giving his talk
July 25, 2024 at 1:25 PM
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Tom Penfold from Newcastle giving the second invited talk after lunch at #TYC_EMW7, talking about modelling x-ray absorption & emission spectra using machine learning #compchen #chemsky
A picture of Tom Penfold giving his talk
July 25, 2024 at 2:03 PM
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Jacqui Cole from Cambridge gave the final talk of the second day of #TYC_EMW7, presenting the work of her group on text mining tools for materials chemistry #chemsky #compchem
A picture of Jacqui Cole giving her talk
July 25, 2024 at 8:16 PM
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Rob "the voice of reason in solid-state chemistry (Walsh 2024)" Palgrave from UCL giving his perspective on the challenges of high-throughput inorganic material prediction & automated synthesis as the final invited talk of the first day of #TYC_EMW7 #compchem #chemsky
A picture of Rob Palgrave giving his talk
July 24, 2024 at 5:41 PM
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Pascal Friedrich from Karlsruhe gives the first invited talk of the second day of #TYC_EMW7, showcasing among other things the power of explainable machine learning in materials discovery #compchem #chemsky
A picture of Pascal Friedrich giving his talk
July 25, 2024 at 1:14 PM
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Alexander Bagger from DTU gives the second invited talk of the second day of #TYC_EMW7, talking about the data-driven symbiosis between computation & experiments when screening for electrocatalysts for CO2 & nitrogen reduction #compchem #chemsky
A picture of Alexander Bagger giving his talk
July 25, 2024 at 1:18 PM
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Matt Rosseinsky from Liverpool kicking off the 7th Thomas Young Centre Energy Materials Workshop, which this year is titled From Data to the Discovery of New Energy Materials #TYC_EMW7 #compchem #chemsky
Picture of Matt Rosseinsky giving his talk on the experimental discovery of materials
July 24, 2024 at 1:29 PM
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Alex Ganose from Imperial talking about automating high-throughput calculations for materials "discovery" at #TYC_EMW7
A picture of Alex Ganose giving his talk
July 25, 2024 at 3:15 PM
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Tian Xie from Microsoft presenting their MatterSim MLP and the MatterGen diffusion model for inorganic structure generation at #TYC_EMW7 #compchem
A picture of Tian Xie giving his talk
July 26, 2024 at 12:12 PM
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Keddar Hippalgaonkar from Singapore giving the closing talk of #TYC_EMW7, talking about predicting and then trying to experim entally make new materials in the lab #compchem #chemsky
A picture of Keddar Hippalgaonkar giving his talk
July 26, 2024 at 12:28 PM
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Seungwu Han from Seoul giving the first talk of the last day of #TYC_EMW7, presenting the SevenNet MLP and its application to crystal structure prediction #compchem
A picture of Seungwu Han giving his talk
July 26, 2024 at 12:04 PM
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Federico Hernandez presenting his work on using machine learned potentials to model the excited-state dynamics of thermal energy storage and singlet-fission materials at #TYC_EMW7 #compchem
A picture of Federico Hernandez giving his talk
July 26, 2024 at 12:11 PM
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Venkat Kapil from UCL talking about applying machine learned potentials to organic crystal structure prediction, the phase diagram of ice and the prediction of molecular dipoles, at #TYC_EMW7 #compchem
A picture of Venkat Kapil giving his talk
July 26, 2024 at 12:08 PM