Zobrazeno 1 - 10
of 7 358
pro vyhledávání: '"Grundler, A."'
Publikováno v:
Phys. Rev. D 110, 103040 (2024)
To more precisely constrain the Equation of State (EOS) of supradense neutron-rich nuclear matter, future high-precision X-ray and gravitational wave observatories are proposed to measure the radii of neutron stars (NSs) with an accuracy better than
Externí odkaz:
http://arxiv.org/abs/2407.07823
Publikováno v:
Physical Review C 110, 044604 (2024)
Applications of new techniques in machine learning are speeding up progress in research in various fields. In this work, we construct and evaluate a deep neural network (DNN) to be used within a Bayesian statistical framework as a faster and more rel
Externí odkaz:
http://arxiv.org/abs/2406.18421
Chiral magnets are materials which possess unique helical arrangements of magnetic moments, which give rise to nonreciprocal transport and fascinating physics phenomena. On the one hand, their exploration is guided by the prospects of unconventional
Externí odkaz:
http://arxiv.org/abs/2404.19153
Autor:
Che, Ping, Ciola, Riccardo, Garst, Markus, Kravchuk, Volodymyr, Baral, Priya R., Magrez, Arnaud, Berger, Helmuth, Schönenberger, Thomas, Rønnow, Henrik M., Grundler, Dirk
Non-collinear magnetic skyrmion lattices provide novel magnonic functionalities due to their topological magnon bands and asymmetric dispersion relations. Magnon excitations with intermediate wavelengths comparable to inter-skyrmion distances are par
Externí odkaz:
http://arxiv.org/abs/2404.14314
Magnon-assisted magnetization reversal of Ni81Fe19 nanostripes on Y3Fe5O12 with different interfaces
Magnetic bit writing by short-wave magnons without conversion to the electrical domain is expected to be a game-changer for in-memory computing architectures. Recently, the reversal of nanomagnets by propagating magnons was demonstrated. However, exp
Externí odkaz:
http://arxiv.org/abs/2312.15107
Autor:
Joglekar, Shreyas S., Baumgaertl, Korbinian, Mucchietto, Andrea, Berger, Francis, Grundler, Dirk
Spin waves (magnons) can enable wave-based neuromorphic computing by which one aims at overcoming limitations inherent to conventional electronics and the von Neumann architecture. In this study, we explore the storage of magnon signals and the magne
Externí odkaz:
http://arxiv.org/abs/2312.09177
Autor:
Che, Ping, Deenen, Axel, Mucchietto, Andrea, Grafe, Joachim, Heigl, Michael, Baumgaertl, Korbinian, Weigand, Markus, Bechtel, Michael, Koraltan, Sabri, Schutz, Gisela, Suess, Dieter, Albrecht, Manfred, Grundler, Dirk
Spin wave nonreciprocity in domain walls (DWs) allows for unidirectional signal processing in reconfigurable magnonic circuits. Using scanning transmission x-ray microscopy (STXM), we examined coherently-excited magnons propagating in Bloch-like DWs
Externí odkaz:
http://arxiv.org/abs/2311.06186
In the presence of recombination, the evolutionary relationships between a set of sampled genomes cannot be described by a single genealogical tree. Instead, the genomes are related by a complex, interwoven collection of genealogies formalized in a s
Externí odkaz:
http://arxiv.org/abs/2310.12070
Autor:
Hosseini, Nahid, Neuenschwander, Matthias, Adams, Jonathan D., Andany, Santiago H., Peric, Oliver, Winhold, Marcel, Giordano, Maria Carmen, Bhat, Vinayak Shantaram, Grundler, Dirk, Fantner, Georg E.
Active microelectromechanical systems can couple the nanomechanical domain with the electronic domain by integrating electronic sensing and actuation mechanisms into the micromechanical device. This enables very fast and sensitive measurements of for
Externí odkaz:
http://arxiv.org/abs/2307.05221
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Nonlinearity of dynamic systems plays a key role in neuromorphic computing, which is expected to reduce the ever-increasing power consumption of machine learning and artificial intelligence applications. For spin waves (magnons), nonlinearit
Externí odkaz:
https://doaj.org/article/1659516013c54c9daee953237d638e83
