Zobrazeno 1 - 10
of 150
pro vyhledávání: '"Peter Müllner"'
Publikováno v:
Frontiers in Big Data, Vol 6 (2023)
State-of-the-art recommender systems produce high-quality recommendations to support users in finding relevant content. However, through the utilization of users' data for generating recommendations, recommender systems threaten users' privacy. To al
Externí odkaz:
https://doaj.org/article/422538f8f1934b1a9b08fe38c4429b33
Autor:
Denys Musiienko, Frans Nilsén, Andrew Armstrong, Michal Rameš, Petr Veřtát, Ross H. Colman, Jaroslav Čapek, Peter Müllner, Oleg Heczko, Ladislav Straka
Publikováno v:
Journal of Materials Research and Technology, Vol 14, Iss , Pp 1934-1944 (2021)
Low twinning stress (TS) is a prerequisite for magnetic shape memory functionality in ferromagnetic martensites. We compare Ni50Mn28Ga22 (nominal at.%) single crystals from four different producers to reveal the effect of crystal quality on the TS. N
Externí odkaz:
https://doaj.org/article/b2abd6c2412f4778bc3dd54ca4a0d0ae
Publikováno v:
Magnetochemistry, Vol 9, Iss 5, p 128 (2023)
This study investigates the impact of alloying Mn-Al-Ga with 3 at.-% Ni and the stability and formation mechanisms of the τ phase and the resulting magnetic properties. The stabilizing effect of Ga on the τ phase was verified, and the ternary alloy
Externí odkaz:
https://doaj.org/article/70b45980992948729ec14becf5e08d29
Autor:
Andrew Armstrong, Peter Müllner
Publikováno v:
Metals, Vol 11, Iss 4, p 536 (2021)
The local actuation of a magnetic shape memory (MSM) element as used in an MSM micropump is considered. This paper presents the difference between an electromagnetic driver and a driver that uses a rotating permanent magnet. For the magnetic field en
Externí odkaz:
https://doaj.org/article/237f5a81946b46f9a33690d2091278ed
Autor:
Peter Müllner
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031282409
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6708177496ce4443024e62138876a323
https://doi.org/10.1007/978-3-031-28241-6_52
https://doi.org/10.1007/978-3-031-28241-6_52
Data and algorithm sharing is an imperative part of data and AI-driven economies. The efficient sharing of data and algorithms relies on the active interplay between users, data providers, and algorithm providers. Although recommender systems are kno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3998b25dc68cfa23c2ca0cb17ba4a18f
http://arxiv.org/abs/2210.11828
http://arxiv.org/abs/2210.11828
Publikováno v:
Acta Materialia. 201:604-616
The structure of type II twins in 10M Ni-Mn-Ga is modeled using the topological method. This method predicts the same twinning parameters as the kinematic model of Bevis and Crocker. Furthermore, topological modeling provides mechanistic insight into
Publikováno v:
The Journal of Computational Science Education. 11:12-22
Autor:
R. H. Colman, Peter Müllner, Ladislav Straka, Tomáš Kmječ, Andrew Armstrong, Oleg Heczko, Michal Rameš, Petr Veřtát, Frans Nilsén
Publikováno v:
Shape Memory and Superelasticity. 6:97-106
Here we report a systematic research on effects of Fe and Cu upon properties relevant for the magnetic shape memory effect of Ni–Mn–Ga ferromagnetic shape memory alloys. Fe and Cu were identified as elements with potential synergism to increase t
Publikováno v:
Shape Memory and Superelasticity. 6:54-60
We fabricated a Ni45Co6.4Mn37In11.6 polycrystalline sample with a specific texture by directional solidification. The alloy is characterized by wide successive structural and magnetic phase transitions that considerably extend their temperature inter