Zobrazeno 1 - 10
of 19 934
pro vyhledávání: '"Hasse A"'
Autor:
Date, Mihir, Petocchi, Francesco, Yen, Yun, Krieger, Jonas A., Pal, Banabir, Hasse, Vicky, McFarlane, Emily C., Körner, Chris, Yoon, Jiho, Watson, Matthew D., Strocov, Vladimir N., Xu, Yuanfeng, Kostanovski, Ilya, Ali, Mazhar N., Ju, Sailong, Plumb, Nicholas C., Sentef, Michael A., Woltersdorf, Georg, Schüler, Michael, Werner, Philipp, Felser, Claudia, Parkin, Stuart S. P., Schröter, Niels B. M.
In a well-ordered crystalline solid, insulating behaviour can arise from two mechanisms: electrons can either scatter off a periodic potential, thus forming band gaps that can lead to a band insulator, or they localize due to strong interactions, res
Externí odkaz:
http://arxiv.org/abs/2410.16199
Predicting the thermodynamic properties of mixtures is crucial for process design and optimization in chemical engineering. Machine learning (ML) methods are gaining increasing attention in this field, but experimental data for training are often sca
Externí odkaz:
http://arxiv.org/abs/2410.06060
Entropy scaling is a powerful technique that has been used successfully for predicting transport properties of pure components over a wide range of states. However, modeling mixture diffusion coefficients by entropy scaling is an unresolved task. We
Externí odkaz:
http://arxiv.org/abs/2409.17615
Autor:
Hasse, W., Rieger, N. E.
In 1983, Hartle and Hawking introduced a conceptually intriguing idea involving signature-type change, which led to the no-boundary proposal for the initial conditions of the universe. According to this proposal, the universe has no beginning because
Externí odkaz:
http://arxiv.org/abs/2409.02403
Autor:
Colla, Alessandra, Hasse, Florian, Palani, Deviprasath, Schaetz, Tobias, Breuer, Heinz-Peter, Warring, Ulrich
Understanding how strong coupling and memory effects influence the energy levels of open quantum systems is a complex and challenging problem. Here, we show these effects by probing the transition frequency of an open two-level system within the Jayn
Externí odkaz:
http://arxiv.org/abs/2408.15928
Accurate prediction of thermodynamic properties is pivotal in chemical engineering for optimizing process efficiency and sustainability. Physical group-contribution (GC) methods are widely employed for this purpose but suffer from historically grown,
Externí odkaz:
http://arxiv.org/abs/2408.05220
We present the first hard-constraint neural network for predicting activity coefficients (HANNA), a thermodynamic mixture property that is the basis for many applications in science and engineering. Unlike traditional neural networks, which ignore ph
Externí odkaz:
http://arxiv.org/abs/2407.18011
We demonstrate that thermodynamic knowledge acquired by humans can be transferred to computers so that the machine can use it to solve thermodynamic problems and produce explainable solutions with a guarantee of correctness. The actionable knowledge
Externí odkaz:
http://arxiv.org/abs/2407.17169
Autor:
Hasse, W., Rieger, N. E.
In the early eighties Hartle and Hawking put forth that signature-type change may be conceptually interesting, paving the way to the so-called 'no boundary' proposal for the initial conditions for the universe. Such singularity-free universes have no
Externí odkaz:
http://arxiv.org/abs/2407.09699
Autor:
Seltmann, Stephanie, Hasse, Alexander
The synthesis of compliant mechanisms (CMs) is frequently achieved through topology optimization. Many synthesis approaches simplify implementation by assuming small distortions, but this limits their practical application since CMs typically undergo
Externí odkaz:
http://arxiv.org/abs/2406.00067