Valentin Vassilev-Galindo

92 posts

Valentin Vassilev-Galindo

Valentin Vassilev-Galindo

@_ValentinVG

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

शामिल हुए Ocak 2017
285 फ़ॉलोइंग113 फ़ॉलोवर्स
पिन किया गया ट्वीट
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.”
The Nobel Prize tweet media
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uni.lu
uni.lu@uni_lu·
🎉 Happy Birthday #uni_lu! Thanks to everyone who believed in us! #20Years
uni.lu tweet media
Esch-sur-Alzette, Luxembourg 🇱🇺 English
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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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खोजें

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