Zobrazeno 1 - 10
of 6 716
pro vyhledávání: '"P. Lippert"'
Autor:
Hartl, Anna, Minár, Ján, Constantinou, Procopios, Roddatis, Vladimir, Alarab, Fatima, Müller, Arnold M., Vockenhuber, Christof, Schmitt, Thorsten, Pergolesi, Daniele, Strocov, Thomas Lippert Vladimir N., Shepelin, Nick A.
The conversion of solar energy into chemical energy, stored in the form of hydrogen, bears enormous potential as a sustainable fuel for powering emerging technologies. Photoactive oxynitrides are promising materials for splitting water into molecular
Externí odkaz:
http://arxiv.org/abs/2409.11825
Autor:
Zhang, Huijie, Lippert, Anja, Leonhardt, Ronny, Tolle, Tobias, Nagel3, Luise, Maric, Tomislav
A thorough understanding of media tightness in automotive electronics is crucial for ensuring more reliable and compact product designs, ultimately improving product quality. Concerning the fundamental characteristics of fluid leakage issues, the dyn
Externí odkaz:
http://arxiv.org/abs/2408.14083
The efficient and voidless filling of microcavities is of great importance for Lab-on-a-Chip applications. However, predicting whether microcavities will be filled or not under different circumstances is still difficult due to the local flow effects
Externí odkaz:
http://arxiv.org/abs/2407.18068
Autor:
Boccaletti, A., Borsanyi, Sz., Davier, M., Fodor, Z., Frech, F., Gerardin, A., Giusti, D., Kotov, A. Yu., Lellouch, L., Lippert, Th., Lupo, A., Malaescu, B., Mutzel, S., Portelli, A., Risch, A., Sjo, M., Stokes, F., Szabo, K. K., Toth, B. C., Wang, G., Zhang, Z.
We present a new lattice QCD calculation of the leading order hadronic vacuum polarization contribution to the muon anomalous magnetic moment $a_\mu$. We reduce uncertainties compared to our earlier computation by $40\%$, arXiv:2002.12347. We perform
Externí odkaz:
http://arxiv.org/abs/2407.10913
Publikováno v:
AI for Science Workshop at the 41st International Conference on Machine Learning (ICML), 2024
Hybrid modeling aims to augment traditional theory-driven models with machine learning components that learn unknown parameters, sub-models or correction terms from data. In this work, we build on FluxRGNN, a recently developed hybrid model of contin
Externí odkaz:
http://arxiv.org/abs/2407.10259
Autor:
English, Eshant, Wong-Toi, Eliot, Fontana, Matteo, Mandt, Stephan, Smyth, Padhraic, Lippert, Christoph
Conformal prediction provides machine learning models with prediction sets that offer theoretical guarantees, but the underlying assumption of exchangeability limits its applicability to time series data. Furthermore, existing approaches struggle to
Externí odkaz:
http://arxiv.org/abs/2407.06390
Autor:
Lippert, S. Joseph
We elaborate on the construction of the Evans chain complex for higher-rank graph $C^*$-algebras. Specifically, we introduce a block matrix presentation of the differential maps. These block matrices are then used to identify a wide family of higher-
Externí odkaz:
http://arxiv.org/abs/2407.06065
Autor:
Ahmed, Sameer, Kavic, Michael J., Liebling, Steven L., Lippert, Matthew, Mian, Mohammad, Simonetti, John
Cosmic strings that are attached to rapidly spinning black holes can extract significant amounts of rotational energy and angular momentum. Here we study the effect on primordial black holes, which are expected to form with one or more cosmic strings
Externí odkaz:
http://arxiv.org/abs/2407.04743
Autor:
Rakowski, Alexander, Monti, Remo, Huryn, Viktoriia, Lemanczyk, Marta, Ohler, Uwe, Lippert, Christoph
With the development of high-throughput technologies, genomics datasets rapidly grow in size, including functional genomics data. This has allowed the training of large Deep Learning (DL) models to predict epigenetic readouts, such as protein binding
Externí odkaz:
http://arxiv.org/abs/2405.19057
Autor:
Biswas, Banani, Naumov, Pavel, Motti, Federico, Hautle, Patrick, Bartkowiak, Marek, Pomjakushina, Ekaterina V., Stuhr, Uwe, Fuchs, Dirk, Lippert, Thomas, Schneider, Christof W.
In orthoferrites the rare-earth (R) ion has a big impact on structural and magnetic properties in particular the ionic size influences the octahedral tilt and the R3+- Fe3+ interaction modifies properties like the spin reorientation. Growth induced s
Externí odkaz:
http://arxiv.org/abs/2404.01416