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@gkhmadsen

Theoretical materials chemistry at TU Wien

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14.11.2024
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Latest posts by @gkhmadsen

Nice!

13.03.2026 09:09 πŸ‘ 1 πŸ” 1 πŸ’¬ 0 πŸ“Œ 0
Preview
How Realistic Are Idealized Copper Surfaces? A Machine Learning Study of Rough Copper–Water Interfaces Copper is a highly promising catalyst for the electrochemical CO2 reduction reaction (CO2RR) since it is the only pure metal that can form highly added-value products such as ethylene and ethanol. Since the CO2RR takes place in aqueous solution, the detailed atomic structure of the water–copper interface is essential for unraveling the key reaction mechanisms. In this study, we investigate copper–water interfaces exhibiting nanometer-scale roughnesses. We introduce two molecular dynamics protocols to create rough copper surfaces, which are subsequently brought into contact with water. From these interfaces, we sample additional training configurations from machine-learning-interatomic-potential-driven molecular dynamics simulations containing hundreds of thousands of atoms. An active learning workflow is developed to identify regions with high spatially resolved uncertainty and convert them into DFT-feasible cells through a modified amorphous matrix embedding approach. Finally, we analyze the local environments at the interface using unsupervised machine-learning techniques. Unique environments emerge on the rough copper surfaces absent from model systems, including stacking-fault-induced configurations and undercoordinated corner atoms. Notably, corner atoms consistently feature chemisorbed water molecules in our simulations, indicating their potential importance in catalytic processes.

Linus' work on identifying uncertain motifs for active learning of rough copper–water interface MLIP out in ACS Materials Au @pubs.acs.org pubs.acs.org/doi/10.1021/... Funded by @fwf-at.bsky.social through COE-MECS

13.03.2026 09:05 πŸ‘ 0 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

This grand theory is also applicable to being a professor

19.01.2026 09:14 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
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Completing the hierarchy of rotational defects in monolayer MoS2 through symmetry-aware evolutionary search Monolayer molybdenum disulfide (MoS2) shows a plethora of defect configurations, which constitutes the basis for tailoring material properties through defect engineering. Detailed characterization of ...

Alex combining symmetry, MLIPs and evolutionary searches to complete the rotational defects in MoS2 is out in @pccp.rsc.org. doi.org/10.1039/D5CP.... Funded by @fwf-at.bsky.social through TU-Dx and @taco-oxides.bsky.social

17.01.2026 12:52 πŸ‘ 4 πŸ” 1 πŸ’¬ 0 πŸ“Œ 0

πŸŽ‚for benzene. And a bit disappointing that bluesky doesn't have a benzene emoji

23.10.2025 12:32 πŸ‘ 1 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

I have a "negative personal opinion" on Trump (and his entire posse). I guess no MRS for the foreseeable future. Canada, can you up your game?

21.03.2025 09:12 πŸ‘ 0 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
A black and white photo of Max Planck. His arms are crossed and he is looking at the camera. Planck has a substantial mustache and his hair is receding. He is wearing a heavy, dark suit with a high-collared white shirt and a small black bowtie.

A black and white photo of Max Planck. His arms are crossed and he is looking at the camera. Planck has a substantial mustache and his hair is receding. He is wearing a heavy, dark suit with a high-collared white shirt and a small black bowtie.

Happy #QuantumDay to all who celebrate!

Max Planck submitted work on blackbody radiation to the German Physical Society #OTD in 1900.

His novel β€œquantum hypothesis” suggested that matter emits and absorbs light with frequency f only in discrete chunks of energy E=hf. πŸ§ͺ βš›οΈ (1/n)

Image: AIP

14.12.2024 15:06 πŸ‘ 296 πŸ” 99 πŸ’¬ 8 πŸ“Œ 6

Me too. But in a hexadecimal base.

02.12.2024 15:23 πŸ‘ 1 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

@apsphysics.bsky.social need a bluesky button! They do get street credit for maintaining the twitter though.

14.11.2024 09:09 πŸ‘ 0 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
Neural network enabled molecular dynamics study of ${\mathrm{HfO}}_{2}$ phase transitions The advances of machine-learned force fields have opened up molecular dynamics (MD) simulations for compounds for which ab initio MD is too resource intensive and phenomena for which classical force f...

Sebastian's work on the high-temperature phase of HfO2 and the interpretation of MD trajectories is out in Phys Rev B. doi.org/10.1103/Phys...

14.11.2024 09:07 πŸ‘ 0 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

I once discovered new interesting papers every week on twitter. That's long gone. Let's find the same energy here. X can keep the pornbots.

14.11.2024 08:48 πŸ‘ 0 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0