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Reference changes · DOI

Data-driven dynamical mean-field theory: An error-correction approach to solve the quan- tum many-body problem using machine learning,

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Correction Crossref 1 open · 1 total · 0 disputed
DOI
10.1103/physrevb.104.205120
Notice DOI
10.1103/physrevb.104.205120
Event date
2021-11-17
Machine twin
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01One-hop citing occurrences

Correction Open
Quantum Entrepreneurship Lab: Training a Future Workforce for the Quantum Industry

ref [26] · 2505.06298 · notice #10352 · dispute

Raw extraction · bibliography line

E. Sheridan et al. , “Data-driven dynamical mean-field theory: An error-correction approach to solve the quan- tum many-body problem using machine learning,”Phys. Rev. B, vol. 104, no. 20, p. 205 120, Nov. 2021. DOI: 10.1103/ PhysRevB.104.205120. [Online]. Available: https://link.aps.org/doi/10.1103/PhysRevB.104.205120

Parser render (TeX stripped for reading; raw above is the evidence)

E. Sheridan et al., “Data-driven dynamical mean-field theory: An error-correction approach to solve the quan- tum many-body problem using machine learning,”Phys. Rev. B, vol. 104, no. 20, p. 205 120, Nov. 2021. DOI: 10.1103/ PhysRevB.104.205120. [Online]. Available: https://link.aps.org/doi/10.1103/PhysRevB.104.205120

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