SMASH: Structured matrix approximation by separation and hierarchy. - Difeng Cai; Edmond Chow; Lucas Erlandson; Yousef Saad; Yuanzhe Xi (Numer. Linear Algebra Appl., 2018)

The Eigenvalues Slicing Library (EVSL): Algorithms, Implementation, and Software. - Ruipeng Li; Yuanzhe Xi; Lucas Erlandson; Yousef Saad (SIAM J. Sci. Comput., 2019)

Accelerating Parallel Hierarchical Matrix-Vector Products via Data-Driven Sampling. - Lucas Erlandson; Difeng Cai; Yuanzhe Xi; Edmond Chow (IPDPS, 2020)

High-Performance Software for Quantum Chemistry and Hierarchical Matrices. - Lucas Erlandson (2022)

Resilient s-ACD for Asynchronous Collaborative Solutions of Systems of Linear Equations. - Lucas Erlandson; Zachary R. Atkins; Alyson Fox; Christopher J. Vogl; Agnieszka Miedlar; Colin Ponce (FedCSIS, 2023)

SPARC v2.0.0: Spin-orbit coupling, dispersion interactions, and advanced exchange-correlation functionals. - Boqin Zhang; Xin Jing; Qimen Xu; Shashikant Kumar; Abhiraj Sharma; Lucas Erlandson; Sushree Jagriti Sahoo; Edmond Chow; Andrew J. Medford; John E. Pask; Phanish Suryanarayana (Softw. Impacts, 2024)

smashGP: Large-Scale Spatial Modeling via Matrix-Free Gaussian Processes. - Lucas Erlandson; Ana María Estrada Gómez; Edmond Chow; Kamran Paynabar (J. Comput. Graph. Stat., 2025)