Scientific paper - Original scientific paper
Efficient neural-network based variational Monte Carlo scheme for direct optimization of excited energy states in frustrated quantum systems
Physical Review B, 102 (2020), 8; 085104. https://doi.org/10.1103/PhysRevB.102.085104


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Đurić, T. & Ševa, T. (2020). Efficient neural-network based variational Monte Carlo scheme for direct optimization of excited energy states in frustrated quantum systems. Physical Review B, 102. (8). doi: 10.1103/PhysRevB.102.085104

Đurić, Tanja and Tomislav Ševa. "Efficient neural-network based variational Monte Carlo scheme for direct optimization of excited energy states in frustrated quantum systems." Physical Review B, vol. 102, no. 8, 2020. https://doi.org/10.1103/PhysRevB.102.085104

Đurić, Tanja and Tomislav Ševa. "Efficient neural-network based variational Monte Carlo scheme for direct optimization of excited energy states in frustrated quantum systems." Physical Review B 102, no. 8 (2020). https://doi.org/10.1103/PhysRevB.102.085104

Đurić, T. and Ševa, T. (2020) 'Efficient neural-network based variational Monte Carlo scheme for direct optimization of excited energy states in frustrated quantum systems', Physical Review B, 102(8). doi: 10.1103/PhysRevB.102.085104

Đurić T, Ševa T. Efficient neural-network based variational Monte Carlo scheme for direct optimization of excited energy states in frustrated quantum systems. Physical Review B [Internet]. 2020 [cited 2024 November 03];102(8). doi: 10.1103/PhysRevB.102.085104

T. Đurić and T. Ševa, "Efficient neural-network based variational Monte Carlo scheme for direct optimization of excited energy states in frustrated quantum systems", Physical Review B, vol. 102, no. 8, 2020. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:217:984917. [Accessed: 03 November 2024]

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