Scientific Machine Learning
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. In his spare time, he enjoys travel and yard work.
- 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
- 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.
- 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.
- 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.
- 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.
- 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.
- 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)