Defects, spins, and layers: computing where quantum function comes from

Daniel Hashemi · Assistant Professor of Physics
Department of Physics, Optical Engineering, and NanoEngineering
Rose-Hulman Institute of Technology

  • Quantum defects & sensing
  • Magnetism & spin
  • Two-dimensional materials

ResearchWork with me

A materials calculation is a prediction. We make ours specific enough to be tested: which defect, which strain direction, which substrate, which isotope, and what an experiment should measure as a result.

The research sits at the point where a real crystal departs from the ideal one. A missing boron atom in a sheet of boron nitride traps an electron spin that can sense its surroundings. A single transition-metal atom dropped into a layer of lead makes it magnetic. Three graphene layers stacked in the right order carry an orbital moment. A proton in a layered oxychloride decides where to sit, and with it how the material conducts.

These are studied with the same toolkit — density functional theory, spin Hamiltonians, defect thermodynamics, and high-performance computing — and the same working rule: every calculation ends in a number an experimentalist can go and measure.

Defects in diamondMany-electron states of the vacancy2005–08
Magnetic nanowiresFe chains on stepped Cu; anisotropy, exchangeHalle / Max Planck, 2010–16
Molecular energy levelsPolymers, phosphors, interfacesMichigan, 2013–21
2D materialsPhosphorene, plumbene, heterostructuresAFRL / Toyota / Rose-Hulman, 2019–
Quantum defects & sensingSpin defects in hBN; orbital magnetism in grapheneRose-Hulman, 2025–

Five questions this research is working on

Hover a card to watch the mechanism. Each leads to the full research thrust.

Selected work, 2026

Student-led papers from the current program. The animation on each card walks through the physics of the paper.

All publications and manuscripts

Undergraduates do the research here.

Eight Rose-Hulman undergraduates are first or coauthors on the 2026 papers and manuscripts. Most had never run a quantum-mechanical calculation before they joined. The first task is always to reproduce a result from the archived data; the second is to change one thing and see what happens.

Open projects and how to join

8undergraduate researchers, 2024–26
3national supercomputing allocations (Frontier, Polaris, Anvil)
1open Zenodo dataset behind every 2026 manuscript

Teaching that runs on the same code

NE140 and NE440, new bookend courses in computational nanoengineering, take students from building their first atomic model to predicting a measurable property with density functional theory — the workflow behind every paper on this site. Try the interactive band-structure and quantum-well demos on the teaching page.

Courses and demonstrations

How the work is done

Every project starts from an archived calculation a student can rerun, and ends in a quantity — a splitting, a moment, a barrier, a charge — that an experimentalist can go and measure. The methods page shows the pipeline; the people page shows who we measure it with.

Two joint studies with experimental groups are in progress: molecular excited states at 2D interfaces with Prof. Jinsang Kim (University of Michigan), and surface chemistry and electronic structure of MXenes with Prof. Babak Anasori (Purdue University).

Computational pipeline · Collaborations · Collaborators