Zachary Morrow (Zack)

Scientific Machine Learning

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Scientific Machine Learning

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Zack’s research interests lie at the intersection of approximation theory and scientific computing, with applications ranging from computational chemistry to wildfire simulation. He joined Sandia in 2021.


  • Ph.D., Applied Mathematics, North Carolina State University (2021)
    • Advisor: C. T. Kelley
    • Concentrations in Computational and Interdisciplinary Mathematics
  • M.S., Applied Mathematics, North Carolina State University (2018)
  • B.S., Applied Mathematics, Wofford College (2016)
  • B.A., Economics, Wofford College (2016)


* Shared first author, for journals where applicable

  1. H.-Y. Kwon,* G. Curtin,* Z. Morrow, C. T. Kelley, and E. Jakubikova. "Adaptive Basis Sets for Practical Quantum Computing." arXiv preprint arXiv:2211.06471 (2022). DOI: 10.48550/arXiv.2211.06471.
  2. Z. Morrow,* H.-Y. Kwon,* C. T. Kelley, and E. Jakubikova. "Efficient Approximation of Potential Energy Surfaces with Mixed-Basis Interpolation." J. Chem. Theory Comput. 17.9 (2021), pp. 5673–5683. DOI: 10.1021/acs.jctc.1c00569.
  3. H.-Y. Kwon,* Z. Morrow,* C. T. Kelley, and E. Jakubikova. "Interpolation Methods for Molecular Potential Energy Surface Approximation." J. Phys. Chem. A 125.45 (2021), pp. 9725–9735. DOI: 10.1021/acs.jpca.1c06812.
  4. Z. Morrow, H.-Y. Kwon, C. T. Kelley, and E. Jakubikova. "Reduced-Dimensional Surface Hopping with Offline–Online Computations." Phys. Chem. Chem. Phys. 23.35 (2021), pp. 19547–19557. DOI: 10.1039/D1CP03446D.
  5. Z. Morrow and M. Stoyanov. "A Method for Dimensionally Adaptive Sparse Trigonometric Interpolation of Periodic Functions." SIAM J. Sci. Comput. 42.4 (2020), pp. A2436–A2460. DOI: 10.1137/19M1283483.
  6. Z. Morrow,* C. Liu,* C. T. Kelley, and E. Jakubikova. "Approximating Periodic Potential Energy Surfaces with Sparse Trigonometric Interpolation." J. Phys. Chem. B 123.45 (2019), pp. 9677–9684. DOI: 10.1021/acs.jpcb.9b08210.


  • NSF Graduate Research Fellow (2018-2021)