Valentin Vassilev-Galindo

92 posts

Valentin Vassilev-Galindo

Valentin Vassilev-Galindo

@_ValentinVG

@MSCActions Postdoctoral fellow Research Associate at @ImdeaMaterials Machine Learning, Chemistry & Physics

Beigetreten Ocak 2017
285 Folgt113 Follower
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Valentin Vassilev-Galindo
Valentin Vassilev-Galindo@_ValentinVG·
Very happy to share that I have been awarded a @MSCActions Postdoctoral Fellowship. The #EU has funded our project, which aims to develop a high-throughput strategy to discover novel catalysts for the hydrogen economy by combining #compchem and #ML
IMDEA Materials@ImdeaMaterials

1/4...IMDEA Materials scores unprecedented success in MSCA #Fellowship call! We are pleased to announce that we have been awarded six @MSCActions #Postdoctoral Fellowships. You can read more, here: materials.imdea.org/imdea-material… @MSCANetwork @EU_Commission

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Gabriel Merino
Gabriel Merino@theochemmerida·
Using the participation of the d orbitals in heavy Group 2 elements, it is possible to stabilize planar pentadecacoordinate atoms. This is the story we detailed in our recent article published in @J_A_C_S A collaboration between groups in 🇨🇳 🇨🇱 🇺🇸 🇲🇽 pubs.acs.org/doi/10.1021/ja…
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M.Gallegos
M.Gallegos@mggalleg0s·
I am delighted to share our latest work in collaboration with @TCPUniLu! Join us as we explore the world of Explainable Chemical Artificial Intelligence (XCAI) using real-space chemistry! nature.com/articles/s4146…
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IMDEA Materials
IMDEA Materials@ImdeaMaterials·
⏳ There is just one month left to apply for the #BIOMEND - Doctorate Network! We are excited to be collaborating in this initiative, with applications open for 15 #PhD candidates in BIOabsorbable Metallic ENdovascular Medical Devices. Full details ➡️biomend.eu
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IMDEA Materials
IMDEA Materials@ImdeaMaterials·
📽️ El periodista Iñaki Rodríguez de @La1_tve habla con el cofundador de @Floatech, el Dr. Juan José Vilatela, y la ingeniera de procesos María Murillo Vidal, sobre los planes de la start up de abrir una planta piloto en Madrid en los próximos tres meses 👏 @ComunidadMadrid
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The Nobel Prize
The Nobel Prize@NobelPrize·
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2023 #NobelPrize in Physics to Pierre Agostini, Ferenc Krausz and Anne L’Huillier “for experimental methods that generate attosecond pulses of light for the study of electron dynamics in matter.”
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uni.lu
uni.lu@uni_lu·
🎉 Happy Birthday #uni_lu! Thanks to everyone who believed in us! #20Years
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Leonardo Medrano Sandonas
Leonardo Medrano Sandonas@Lmedranos88·
From “Freedom of Design” to the actual inverse design of molecules with targeted quantum-mechanical properties!😃 arxiv.org/abs/2309.00506 👉Have a look at our recent preprint where we parametrize QM7-X chemical space with a set of QM properties. @SuperFalla @TCPUniLu @AiddOne
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Guido von Rudorff
Guido von Rudorff@ferchault·
It was good fun to write that review with @hbdft2008 and @ProfvLilienfeld! ➡️ML is data-limited, and DFT likely is the way out ➡️Data is too scarce, e.g. for excited states, non-equilibrium geometries, charged systems and more elements There's Plenty of Room at the Bottom😉
Josh Rackers@JoshRackers

Nice review by Bing Huang, @ferchault, and @ProfvLilienfeld on just how important DFT is to the future of AI for molecules. Still so many open questions (especially in biophysics) but quantum chemistry is definitely a fundamental part of the equation! science.org/doi/10.1126/sc…

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IMDEA Materials
IMDEA Materials@ImdeaMaterials·
👏 IMDEA Materials Institute is greatly looking forward to the debut of the HERA project at next week's @parisairshow! ✈️ HERA is developing the next hybrid electric regional passenger aircraft with the aim of reducing emissions by up to 90%. +info: youtube.com/watch?v=nPctr_…
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Valentin Vassilev-Galindo
Valentin Vassilev-Galindo@_ValentinVG·
Don't miss the opportunity to read our work, where we implement many-body expansions into GDML for constructing a size-transferable #MachineLearning force field. #CompChem
Digital Discovery@digital_rsc

Tkatchenko, Keith, et. al., present a gradient-domain ML force field trained on many-body interactions, to create a size-transferable force field: mbGDML. Get the full picture in today's featured #openaccess advance article: doi.org/10.1039/D3DD00…

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Entdecken

@HESauceda @theochemmerida @ICCLyon2024 @ImdeaMaterials @espa2024 @J_A_C_S @TCPUniLu @uniovi_info