| Naziv: | Machine learning protocol to identify pairing symmetries via quasiparticle interference imaging in Ising superconductors |
Autori: | Hlozny, Adam; Hanis, Jozef; Gmitra, Martin; Milivojevic, Marko |
Godina: | 2026 |
Publikacija: | PHYSICAL REVIEW B |
ISSN: | 2469-9950 Physical Review B Pretraži identifikator |
Tip rezultata: | Naučni članak |
Kolacija: | vol. 114 br. 2 |
DOI: | 10.1103/7zvs-rnmt |
WoS-ID: | 001830601400001 |
URI: | https://enauka.gov.rs/handle/123456789/1049320 |
Projekat: | 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] |
Izvor metapodataka: | (Preuzeto iz Nasi u WoS) |
M-kategorija: | 21M21 - Vodeći međunarodni časopis kategorije M21 |