| Naslov
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Machine learning protocol to identify pairing symmetries via quasiparticle interference imaging in Ising superconductors (Article)
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| Autori
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Hlozny Adam Hanis Jozef Gmitra Martin Milivojevic Marko
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| Info |
PHYSICAL REVIEW B, (2026), vol. 114 br. 2, str. -
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| Projekat
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European Regional Development Fund [311070AKF2]; EU Structural Funds Informatization of society; Operational Program Integrated Infrastructure [APVV-21-0272]; Ministry of Education, Research, Development and Youth of the Slovak Republic [APVV-21-0272, VEGA 2/0133/25, VEGA 1/0104/25]; Slovak Academy of Sciences Project [IMPULZ IM-2021-42]; Programme Johannes Amos Commenius, called Excellent Research [CZ.02.01.01/00/22_-008/0004572]; EU NextGenerationEU through the Recovery and Resilience Plan for Slovakia [09I02-03-V01-00012]; APVV [APVV-23-0430]; VEGA [APVV-21-0272, APVV-23-0430] |
| Ispravka
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ISI/Web of Science
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