Concepedia

Mark Loveland

ML

Statistics

Publications

5

Citations

119

H-Index

5

Active since

2021

Affiliations

The University of Texas at Austin(Current)

U.S. Army Engineer Research and Development Center

United States Army

Mark Loveland is an author at The University of Texas at Austin specializing in engineering, quantum computing, and quantum machine learning.

ORCID

Top concepts

Publications per year

2021–2024

5

Publications

5

Developing a Modeling Framework to Simulate Compound Flooding: When Storm Surge Interacts With Riverine Flow

Mark Loveland, Amin Kiaghadi, Clint Dawson et al. · Frontiers in Climate · 2021 · 48 citations · Full text

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A Variational Quantum Linear Solver Application to Discrete Finite-Element Methods

Corey J. Trahan, Mark Loveland, Noah A. Davis et al. · Entropy · 2023 · 24 citations · Full text

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Quantum Physics-Informed Neural Networks

Corey J. Trahan, Mark Loveland, Samuel Dent · Entropy · 2024 · 23 citations · Full text

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Classification of COVID-19 X-ray Images Using a Combination of Deep and Handcrafted Features

Weihan Zhang, Bryan Pogorelsky, Mark Loveland et al. · arXiv (Cornell University) · 2021 · 13 citations · Full text

, , +23

Improving coastal flooding predictions by switching meshes during a simulation

Ajimon Thomas, J. C. Dietrich, Mark Loveland et al. · Ocean Modelling · 2021 · 11 citations

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