Zobrazeno 1 - 10
of 66 284
pro vyhledávání: '"Mathias, P"'
Autor:
da Silva, Viviane Torres, Rademaker, Alexandre, Lionti, Krystelle, Giro, Ronaldo, Lima, Geisa, Fiorini, Sandro, Archanjo, Marcelo, Carvalho, Breno W., Neumann, Rodrigo, Souza, Anaximandro, Souza, João Pedro, de Valnisio, Gabriela, Paz, Carmen Nilda, Cerqueira, Renato, Steiner, Mathias
Automated knowledge extraction from scientific literature can potentially accelerate materials discovery. We have investigated an approach for extracting synthesis protocols for reticular materials from scientific literature using large language mode
Externí odkaz:
http://arxiv.org/abs/2411.03484
Autor:
Pupim, Lucas V., Scheurer, Mathias S.
We study theoretically how superlattices based on adatoms on surfaces of unconventional superconductors can be used to engineer novel pairing states that break time-reversal symmetry and exhibit non-trivial magnetic point symmetries. We illustrate th
Externí odkaz:
http://arxiv.org/abs/2411.02489
General state-space models (SSMs) are widely used in statistical machine learning and are among the most classical generative models for sequential time-series data. SSMs, comprising latent Markovian states, can be subjected to variational inference
Externí odkaz:
http://arxiv.org/abs/2411.02217
Deep learning time-series models are often used to make forecasts that inform downstream decisions. Since these decisions can differ from those in the training set, there is an implicit requirement that time-series models will generalize outside of t
Externí odkaz:
http://arxiv.org/abs/2411.00126
We investigate the dynamics of one-dimensional SU(2) ultracold fermions near the Tonks-Girardeau limit, confined in a box potential. The system is driven out of equilibrium by initially preparing the two spin components in a fully separated configura
Externí odkaz:
http://arxiv.org/abs/2410.23716
Robustness audits of deep neural networks (DNN) provide a means to uncover model sensitivities to the challenging real-world imaging conditions that significantly degrade DNN performance in-the-wild. Such conditions are often the result of the compou
Externí odkaz:
http://arxiv.org/abs/2410.23494
When solving inverse problems, one has to deal with numerous potential sources of model inexactnesses, like object motion, calibration errors, or simplified data models. Regularized Sequential Subspace Optimization (ReSeSOp) allows to compensate for
Externí odkaz:
http://arxiv.org/abs/2410.23061
Autor:
Richerzhagen, Mathias, Seidel, Matthias, Mehrgan, Leander, Ives, Derek, Conzelmann, Ralf, Todorovic, Mirko, Geimer, Christoph
Publikováno v:
Journal of Astronomical Telescopes, Instruments, and Systems 10(4), 046001 (25 October 2024)
A new detector controller, NGCII, is in development for the first-generation instruments of the ELT as well as new instruments for the VLT. Building on experience with previous ESO detector controllers, a modular system based on the MicroTCA.4 indust
Externí odkaz:
http://arxiv.org/abs/2410.22965
Autor:
He, Xue, Ding, Shilei, Giil, Hans Gløckner, Wang, Jicheng, Lin, Zhongchong, Liang, Zhongyu, Yang, Jinbo, Kläui, Mathias, Brataas, Arne, Hou, Yanglong, Wu, Rui
Spin Seebeck effect (SSE) refers to the creation of spin currents due to a temperature gradient in the magnetic materials or across magnet-normal metal interfaces, which can be electrically detected through the inverse spin Hall effect (ISHE) when in
Externí odkaz:
http://arxiv.org/abs/2410.22800
Autor:
Amrollahi, Daneshvar, Preiner, Mathias, Niemetz, Aina, Reynolds, Andrew, Charikar, Moses, Tinelli, Cesare, Barrett, Clark
In many applications, SMT solvers are used to solve similar or identical tasks over time. When the performance of the solver varies significantly despite only small changes, this leads to frustration for users. This has been called the stability prob
Externí odkaz:
http://arxiv.org/abs/2410.22419