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Daniel Wines (Fed)


Research Interests:

My research focuses on applying first-principles methods such as density functional theory (DFT) and Quantum Monte Carlo to study next-generation quantum materials. Specifically, I am interested in correlated two-dimensional magnets and superconductors. My work can be divided into two categories: 1) the discovery of new and novel quantum materials and 2) accurately calculating the properties of correlated materials using many-body methods beyond DFT.

Current Projects:

1) Beyond DFT implementation in JARVIS (
2) Quantum Monte Carlo simulations of solids
3) Computational studies of 2D magnets and superconductors


  • Main organizer of the NIST Quantum Matters in Materials Science Workshop
  • Co-organizer of the recurring NIST Artificial Intelligence in Materials Science Workshop

Google Scholar




NRC Postdoctoral Fellowship 


Created December 18, 2021, Updated January 19, 2023