Daniel J. Staros

I. Quantum Materials Theory

PLACEHOLDER: Overarching statement about quantum materials theory and broader impact of my research, including:

  • Showing that strong electron correlation can degrade integer quantum Hall conductivity, (arXiv Preprint, 2026)
  • Calculating the many-body fundamental gap in monolayer CrI3, (npj 2D Mater. Appl., 2026)
  • Proposing a new topological spin filter that’s only two atomic layers thick, (npj Spintronics, 2025)
  • Explaining why exfoliation of thin-layer NiPS3 changes its X-ray spectrum, (Advanced Physics Research, 2024)
  • Determining the structure and magnetism of monolayer CrI3, (Journal of Chemical Physics, 2022)

II. Nuclear Forensics (theoretical support)

PLACEHOLDER: Overarching statement about nuclear forensics and broader impact of my results, including:

  • Performing programmatic nuclear forensics work, (In preparation, 2026)
  • Determining what uranium materials most likely exist in nuclear fuels, and their experimental signatures,(Submitted to J. Nucl. Mater., 2026; J. Phys. Chem. C, 2019)
  • Building Python code to handle manipulation of statistical uncertainties in GNDS nuclear data, improving numerical treatment of nuclear signatures (LLNL-POST-782163)

III. Computational Physics

PLACEHOLDER: Overarching statement about computational physics and broader impact of my results, including:

  • Building Python code to optimize parameters and predict magneto-transport of 2D lattices, (STARLIGHT, GitHub, 2025)
  • Benchmarking energies of carbon monoxide on platinum for comparison to machine-learned DFT functionals, (ChemPhysChem, 2024)
  • Determining transport coefficients of infinitely dilute, hydrothermal solutions via nonlinear regression of data from experimental literature (J. Chem. Eng. Data, 2022)