Zobrazeno 1 - 10
of 1 503
pro vyhledávání: '"Korošec, P"'
Autor:
Xu, Ruijuan, Crassee, Iris, Bechtel, Hans A., Zhou, Yixi, Bercher, Adrien, Korosec, Lukas, Rischau, Carl Willem, Teyssier, Jérémie, Crust, Kevin J., Lee, Yonghun, Corder, Stephanie N. Gilbert, Li, Jiarui, Dionne, Jennifer A., Hwang, Harold Y., Kuzmenko, Alexey B., Liu, Yin
Recent theoretical studies have suggested that transition metal perovskite oxide membranes can enable surface phonon polaritons in the infrared range with low loss and much stronger subwavelength confinement than bulk crystals. Such modes, however, h
Externí odkaz:
http://arxiv.org/abs/2403.08500
Autor:
Zhou, Yixi, Waelchli, Adrien, Boselli, Margherita, Crassee, Iris, Bercher, Adrien, Luo, Weiwei, Duan, Jiahua, van Mechelen, J. L. M., van der Marel, Dirk, Teyssier, Jérémie, Rischau, Carl Willem, Korosec, Lukas, Gariglio, Stefano, Triscone, Jean-Marc, Kuzmenko, Alexey B.
Publikováno v:
Nature Communications 14, 7686 (2023)
Phonon polaritons are promising for infrared applications due to a strong light-matter coupling and subwavelength energy confinement they offer. Yet, the spectral narrowness of the phonon bands and difficulty to tune the phonon polariton properties h
Externí odkaz:
http://arxiv.org/abs/2312.03711
Autor:
GERDA Collaboration, Agostini, M., Alexander, A., Araujo, G. R., Bakalyarov, A. M., Balata, M., Barabanov, I., Baudis, L., Bauer, C., Belogurov, S., Bettini, A., Bezrukov, L., Biancacci, V., Bossio, E., Bothe, V., Brudanin, V., Brugnera, R., Caldwell, A., Cattadori, C., Chernogorov, A., Comellato, T., D'Andrea, V., Demidova, E. V., Di Marco, N., Doroshkevich, E., Fischer, F., Fomina, M., Gangapshev, A., Garfagnini, A., Gooch, C., Grabmayr, P., Gurentsov, V., Gusev, K., Hakenmüller, J., Hemmer, S., Hofmann, W., Huang, J., Hult, M., Inzhechik, L. V., Csáthy, J. Janicskó, Jochum, J., Junker, M., Kazalov, V., Kermaïdic, Y., Khushbakht, H., Kihm, T., Kilgus, K., Kirpichnikov, I. V., Klimenko, A., Kneißl, R., Knöpfle, K. T., Kochetov, O., Kornoukhov, V. N., Korošec, M., Krause, P., Kuzminov, V. V., Laubenstein, M., Lindner, M., Lippi, I., Lubashevskiy, A., Lubsandorzhiev, B., Lutter, G., Macolino, C., Majorovits, B., Maneschg, W., Manzanillas, L., Marshall, G., Misiaszek, M., Morella, M., Müller, Y., Nemchenok, I., Pandola, L., Pelczar, K., Pertoldi, L., Piseri, P., Pullia, A., Ransom, C., Rauscher, L., Redchuk, M., Riboldi, S., Rumyantseva, N., Sada, C., Salamida, F., Schönert, S., Schreiner, J., Schütt, M., Schütz, A-K., Schulz, O., Schwarz, M., Schwingenheuer, B., Selivanenko, O., Shevchik, E., Shirchenko, M., Shtembari, L., Simgen, H., Smolnikov, A., Stukov, D., Vasenko, A. A., Veresnikova, A., Vignoli, C., von Sturm, K., Wester, T., Wiesinger, C., Wojcik, M., Yanovich, E., Zatschler, B., Zhitnikov, I., Zhukov, S. V., Zinatulina, D., Zschocke, A., Zsigmond, A. J., Zuber, K., Zuzel, G.
The GERmanium Detector Array (GERDA) experiment operated enriched high-purity germanium detectors in a liquid argon cryostat, which contains 0.33% of $^{36}$Ar, a candidate isotope for the two-neutrino double-electron capture (2$\nu$ECEC) and therefo
Externí odkaz:
http://arxiv.org/abs/2311.02214
Autor:
Kostovska, Ana, Cenikj, Gjorgjina, Vermetten, Diederick, Jankovic, Anja, Nikolikj, Ana, Skvorc, Urban, Korosec, Peter, Doerr, Carola, Eftimov, Tome
The performance of automated algorithm selection (AAS) strongly depends on the portfolio of algorithms to choose from. Selecting the portfolio is a non-trivial task that requires balancing the trade-off between the higher flexibility of large portfol
Externí odkaz:
http://arxiv.org/abs/2310.10685
Autor:
Blaž Karpe, Janez Kovač, Monika Manfreda, Milan Bizjak, Stojana Vesković, Romana Cerc Korošec, Polona Umek
Publikováno v:
Journal of Materials Research and Technology, Vol 33, Iss , Pp 8720-8729 (2024)
The oxidation mechanism of Kanthal AF (FeCrAl alloy) was studied in the temperature range of 800–1200 °C through isothermal and thermo-cyclic oxidation tests. At 800 °C, tests involved 12-h cycles (up to 36 cycles), while at 1000 °C and 1200 °C
Externí odkaz:
https://doaj.org/article/52ccebc670774d978bda1fe8aae6119e
Autor:
Mundet, Bernat, Hadjimichael, Marios, Fowlie, Jennifer, Korosec, Lukas, Varbaro, Lucia, Dominguez, Claribel, Triscone, Jean-Marc, Alexander, Duncan T. L.
Most perovskite oxides belong to the Pbnm space group, composed by an anisotropic unit cell, A-site antipolar displacements and oxygen octahedral tilts. Mapping the orientation of the orthorhombic unit cell in epitaxial heterostructures that consist
Externí odkaz:
http://arxiv.org/abs/2307.06606
The application of machine learning (ML) models to the analysis of optimization algorithms requires the representation of optimization problems using numerical features. These features can be used as input for ML models that are trained to select or
Externí odkaz:
http://arxiv.org/abs/2306.05438
Autor:
Nikolikj, Ana, Džeroski, Sašo, Muñoz, Mario Andrés, Doerr, Carola, Korošec, Peter, Eftimov, Tome
In black-box optimization, it is essential to understand why an algorithm instance works on a set of problem instances while failing on others and provide explanations of its behavior. We propose a methodology for formulating an algorithm instance fo
Externí odkaz:
http://arxiv.org/abs/2306.00479
Autor:
Nikolikj, Ana, Cenikj, Gjorgjina, Ispirova, Gordana, Vermetten, Diederick, Lang, Ryan Dieter, Engelbrecht, Andries Petrus, Doerr, Carola, Korošec, Peter, Eftimov, Tome
A key component of automated algorithm selection and configuration, which in most cases are performed using supervised machine learning (ML) methods is a good-performing predictive model. The predictive model uses the feature representation of a set
Externí odkaz:
http://arxiv.org/abs/2306.00040
Leave-one-problem-out (LOPO) performance prediction requires machine learning (ML) models to extrapolate algorithms' performance from a set of training problems to a previously unseen problem. LOPO is a very challenging task even for state-of-the-art
Externí odkaz:
http://arxiv.org/abs/2305.19375