Mie Andersen

Assoc Prof #AarhusUni. Computational catalysis & machine learning.

[Mie Andersen @MieAndersen17]

Had great fun looking into the "history books" of computational catalyst screening to write a "Retro News and Views" piece for @NatureCatalysis - highlighting some important Danish contributions from @Bjork_Hammer and Jens Norskov: https://t.co/1OohHnQCCx @AIntercat @AIAS_dk

[Mie Andersen @MieAndersen17]

Please share: We have a postdoc opening to work within catalysis and machine learning. Applications will focus on CO2 hydrogenation reactions over solid oxide catalyst materials. See the full call and apply here before July 1st: https://t.co/vuem3k8jXw
@AIAS_dk
@AIntercat

[Mie Andersen @MieAndersen17]

Please share: We have two #PhD openings to work within computational modelling and #MachineLearning with applications in #astrochemistry or heterogeneous #catalysis. See the full call and apply here before May 1st: https://t.co/ub8NEB0haB
@AIAS_dk
@AIntercat

[Mie Andersen @MieAndersen17]

Please share: We have a postdoc opening to work within catalysis and machine learning. Applications will focus on CO2 hydrogenation reactions over solid oxide catalyst materials. See the full call and apply here before April 15th: https://t.co/LBBq0QNIFv @AIAS_dk @AIntercat

[Mie Andersen @MieAndersen17]

Please share. At #astro_intercat in Aarhus, Denmark we have an opening for a 2-year postdoc position. We are looking for a #phd graduate with a passion for computational #astrochemistry and machine learning. Full details here: https://t.co/cc0nVf0Qxj @AIntercat

[Mie Andersen @MieAndersen17]

Looking forward to starting a new project next year with generous funding from @novonordiskfond !

[Aarhus Institute of Advanced Studies @AIAS_dk]

With a @novonordiskfond grant, physicist & #AIASFellow @MieAndersen17 & postdoc Raffaele Cheula @AIntercat will investigate conversion of #CO2 over metal #oxides to help creating a more sustainable & economically viable production of fuels and chemicals.
🥳https://t.co/LiMXbjemWz

[Mie Andersen @MieAndersen17]

@Iza_Romanowska @AIAS_dk @novonordiskfond @AIntercat @AarhusUni_int @NatSci_AU Thanks a lot @Iza_Romanowska !

[Nature Computational Science @NatComputSci]

Out now: a Research Briefing that summarizes and sheds more light on a machine learning method from @MieAndersen17 and colleagues that predicts how complex adsorbates bind to transition metal and alloy surfaces (https://t.co/ytRXU7yVHI). https://t.co/yw7pFsKAen

[Mie Andersen @MieAndersen17]

Our latest #research on #MachineLearning adsorption energies and binding configurations of complex adsorbates is now out in @NatComputSci. @AIntercat @AIAS_dk @VILLUMscience

[Nature Computational Science @NatComputSci]

In a recent Article, @MieAndersen17 and colleagues (@fhi_mpg_de, @AIAS_dk, @AIntercat) propose a machine learning method to predict how complex adsorbates bind to transition metal and alloy surfaces (https://t.co/umLQh8pRii). https://t.co/OGZ8VYlR3K

[Mie Andersen @MieAndersen17]

@TACO_Oxides @ChengBingqing @bluebananna One baby still pending. Congratulations! - and happy to be part of the statistics ;-)

[Psi-k @Psik_Network]

Read a report about the recent Psi-k funded workshop “#Astrochemistry meets Surface Science: Theoretical Frontiers” that took place at @AarhusUni... https://t.co/qYyjwhvtRq

[Mie Andersen @MieAndersen17]

Nice collaboration with @NielsLigterink on #MachineLearning binding energies of astrochemically relevant molecules. @AIntercat @AIAS_dk

[Mie Andersen @MieAndersen17]

Please share: We have a postdoc opening to work within catalysis, astrochemistry and machine learning. Applications should cover aspects relevant to grain surface chemistry in interstellar space. See the full call and apply here before June 1st: https://t.co/eGshUus7Ab

[Bjørk Hammer @Bjork_Hammer]

Introducing https://t.co/WOHHggkoqH. Interact with a self-trained RL-agent while you build 2D molecular compounds. The raster plots are Q-values predicting the stability in DFT of the final molecule. @VILLUMscience @AIntercat #ReinforcementLearning #compchem #MachineLearning

[Mie Andersen @MieAndersen17]

Looking forward to visiting TACO / TU Vienna on Monday !

[TACO: Taming Complexity in Materials Modeling @TACO_Oxides]

Invitation to our next TACO Colloquium: Monday, Apr 25, Prof. Mie Andersen/@AarhusUni_int will speak about "Data-efficient and physics-inspired #MachineLearning models to treat complex #catalyst #materials and reaction networks". Info on our website: https://t.co/ZjOkZ0qzMY

[Mie Andersen @MieAndersen17]

Thanks to all participants and our sponsors @AIntercat, @AIAS_dk, @Psik_Network, MS1P

[Mie Andersen @MieAndersen17]

Happy Women's Day! And by the way, programme is now online for our all-female-organized workshop “Astrochemistry meets Surface Science: Theoretical Frontiers” in April in Aarhus. We still have open slots to register and bring posters: https://t.co/i8pRIb7dhX @AIntercat @AIAS_dk

[Aarhus Institute of Advanced Studies @AIAS_dk]

A reach-out to researchers in need in Ukraine. With a new fellowship programme - the AUFF-Ukraine research fellowships at AIAS @AarhusUni , researchers from a Ukrainian institution unable to continue their research are offered up to 12 months fellowships:
https://t.co/Y4Nmxw1cdc

[Mie Andersen @MieAndersen17]

Looking forward to test my science communication skills tonight in #scienceslam @PlanetariumCph. During 7 precious minutes I will try to explain how #catalysis can help us convert #CO2. See more here: https://t.co/wLJ38APLJ7 #scicomm @AIntercat @AIAS_dk @VILLUMscience

[Mie Andersen @MieAndersen17]

Reminder: Abstract submission deadline in one week!

[Mie Andersen @MieAndersen17]

Submit your abstract before Feb 21st for our in-person workshop “Astrochemistry meets Surface Science: Theoretical Frontiers”, April 5th-8th 2022, @AarhusUni, Denmark. Speakers, program and more on https://t.co/E3Nv5KOM1j
@Psik_Network @AIAS_dk @AIntercat @fhi_theory