Philip M. Dee

Accelerating lattice quantum Monte Carlo simulations using artificial neural networks: Application to the Holstein model

Shaozhi Li, Philip M. Dee, Ehsan Khatami et al. · Physical review. B./Physical review. B · 2019 · 36 citations · Full text

Quantum Lattice System, Engineering, Machine Learning +19

Temperature-filling phase diagram of the two-dimensional Holstein model in the thermodynamic limit by self-consistent Migdal approximation

Philip M. Dee, K. Nakatsukasa, Yan Wang et al. · Physical review. B./Physical review. B · 2019 · 32 citations · Full text

Superconducting Material, Quantum Lattice System, Engineering +26

Superconductivity, charge density waves, and bipolarons in the Holstein model

Benjamin Nosarzewski, Edwin W. Huang, Philip M. Dee et al. · Physical review. B./Physical review. B · 2021 · 31 citations · Full text

Superconducting Material, Charge Excitations, Engineering +19

Enhancing <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi>T</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub></mml:math> in a composite superconductor/metal bilayer system: A dynamical cluster approximation study

Philip M. Dee, Steven Johnston, Thomas Maier · Physical review. B./Physical review. B · 2022 · 12 citations · Full text

High critical field superconductivity at ambient pressure in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi mathvariant="normal">MoB</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:math> stabilized in the P6/mmm structure via Nb substitution

Ajinkya C. Hire, Shubham Sinha, Jinhyuk Lim et al. · Physical review. B./Physical review. B · 2022 · 11 citations · Full text

Crystal Structure, Superconducting Material, Engineering +19