Classification of COVID-19 X-ray Images Using a Combination of Deep and Handcrafted Features. - Weihan Zhang; Bryan Pogorelsky; Mark Loveland; Trevor Wolf (CoRR, 2021)

Extending FEniCS to work in higher dimensions using tensor product finite elements. - Mark Loveland; Eirik Valseth; Matt Lukac; Clint Dawson 001 (J. Comput. Sci., 2022)

A Variational Quantum Linear Solver Application to Discrete Finite-Element Methods. - Corey Jason Trahan; Mark Loveland; Noah Davis; Elizabeth Ellison (Entropy, 2023)

Quantum Physics-Informed Neural Networks. - Corey Jason Trahan; Mark Loveland; Samuel Dent (Entropy, 2024)

A Neural Operator-Based Emulator for Regional Shallow Water Dynamics. - Peter Rivera-Casillas; Sourav Dutta; Shukai Cai; Mark Loveland; Kamaljyoti Nath; Khemraj Shukla; Corey Jason Trahan; Jonghyun Lee 005; Matthew W. Farthing; Clint Dawson 001 (CoRR, 2025)