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kosm6966/README.md

Hi, I'm Kori Smyser

Ph.D. in Theoretical Chemical Physics | Quantum Computing | Scientific Software Developer


🔬 About Me

I'm a quantum theorist and scientific software engineer with deep expertise in spin dynamics, entangled exciton modeling, and numerical methods for quantum systems. I build theory and software that connect foundational quantum science with real-world quantum technologies—from spin-based qubit control to efficient hybrid DFT simulations.


🧠 Research Highlights

  • 📘 JDE Model for Quantum Information
    Developed the JDE model, a spin-exciton Hamiltonian used to simulate nonadiabatic singlet fission dynamics and entangled quintet states.

  • 🎯 Selection Rules via Wigner-Eckart
    Derived symmetry-based transition rules that enable deterministic population of EPR-active sublevels—paving the way for qubit initialization at room temperature.

  • Multigrid Method for Hybrid DFT
    Developed a new multigrid ISDF approach to drastically reduce CPU and memory costs in periodic DFT calculations. Integrating into PySCF extensions.

  • 📈 Simulation-Experiment Synergy
    Matched theory with time-resolved EPR spectra in rigid dimers and crystalline systems using simulated-annealing for spectral fitting.


🛠 Technical Toolkit

  • Spectroscopy: Time-resolved electron paramagnetic resonance (trEPR), Raman, vibrationally resolved UV-Vis, spatially resolved ultrafast pump-probe microscopy
  • Quantum Chemistry:
    • Variational energy minimization, spin Hamiltonians, Dirac-Heisenberg exchange, spin-dipole coupling, zero-field splitting, scaling
    • Coupled systems, entanglement, coherence, clock transitions, quantum beats
    • Population & spin dynamics, diffusion, nonadiabatic transition theory, state-selective relaxation, selection rules
  • Electronic Structure:
    • PySCF, Gaussian
    • Hartree-Fock, hybrid DFT, exchange-correlation, periodic boundary conditions, excited state modeling (TD-DFT), k-points
    • Multigrid methods, Fast Fourier Transforms (FFT), matrix decompositions (ID, QRCP, SVD), tensor hypercontraction (THC, rPS), density fitting (RI, ISDF)
  • Numerical Methods:
    • Eigensystems, tensor contraction, linear algebra
    • Least-squares optimization, stochastic optimization for non-linear fitting (simulated annealing)
    • Monte Carlo methods, k-means clustering
    • Numerical methods for differential equations, integration, and interpolation
  • Programming:
    • Linux, MacOS
    • Bash, vi, SLURM
    • Python, C/C++, Julia, MATLAB, Mathematica, Igor, LabView
    • Numpy, numba, scipy, joblib, matplotlib, pandas, pyfftw, mpi4py, h5py
    • OpenMP, MPI, multi-threading, high-performance computing, compilers, dependency management
    • Software packaging and testing (pip, Pkg.jl), documentation, version control (Git, Github), optimization, benchmarking

📄 Selected Publications


📫 Let’s Connect

Feel free to reach out!!! kori.smyser@gmail.com

Pinned Loading

  1. JDE.jl JDE.jl Public

    Numerical implementation of the JDE model—a nonadiabatic transition theory and model hamiltonian for the triplet pair from singlet fission dimers.

    Julia 1

  2. pyscf-forge pyscf-forge Public

    Forked from pyscf/pyscf-forge

    pyscf-forge is a staging ground for code that may be suitable for pyscf-core

    Python 2

  3. DukovicSA.jl DukovicSA.jl Public

    Simulate hole dynamics data using kinetic Monte Carlo method and fit to experimental data using simulated annealing pkg.

    Julia

  4. pyscf pyscf Public

    Forked from pyscf/pyscf

    Python module for quantum chemistry

    Python