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Defector: 'Dune' Novels, Ranked By Unfilmability
#Dune
https://defector.com/dune-novels-ranked-by-unfilmability

'Dune' Novels, Ranked By Unfilmability | Defector
This might go without saying, but: Massive spoilers for the entire series throughout, presumably including a third Villeneuve Dune film. It may be hard for movie audiences to believe, but a series that begins with Lawrence of Arabia taking the Electric Kool-Aid Acid Test only gets weirder from there. I was at a low point […]

Defector: 'Dune' Novels, Ranked By Unfilmability
#Dune
https://defector.com/dune-novels-ranked-by-unfilmability

'Dune' Novels, Ranked By Unfilmability | Defector
This might go without saying, but: Massive spoilers for the entire series throughout, presumably including a third Villeneuve Dune film. It may be hard for movie audiences to believe, but a series that begins with Lawrence of Arabia taking the Electric Kool-Aid Acid Test only gets weirder from there. I was at a low point […]

Impact of etches on thin-film single-crystal niobium resonators
H. Wang, T. Banerjee, T. G. Farinha, A. T. Hanbicki, V. Fatemi, B. S. Palmer, C. J. K. Richardson
https://arxiv.org/abs/2402.18051

Impact of etches on thin-film single-crystal niobium resonators
A single crystal niobium thin film was grown using molecular beam epitaxy on a c-plane sapphire wafer. Several samples were fabricated into dc resistivity test devices and coplanar waveguide resonator chips using the same microfabrication procedures and solvent cleans. The samples were then subject to different acid cleaning treatments using different combinations of piranha, hydrofluoric acid, and buffered oxide etch solutions. The different samples expressed changes in dc resistivity in the n…

This https://arxiv.org/abs/2403.11216 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Tell machine learning potentials what they are needed for: Simulation-oriented training exemplified for glycine
Machine learning potentials (MLPs) are widely applied as an efficient alternative way to represent potential energy surfaces (PES) in many chemical simulations. The MLPs are often evaluated with the root-mean-square errors on the test set drawn from the same distribution as the training data. Here, we systematically investigate the relationship between such test errors and the simulation accuracy with MLPs on an example of a full-dimensional, global PES for the glycine amino acid. Our results s…