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Author

Andrew Glaws

Observed names: A. Glaws, Glaws, Andrew, Glaws, Andrew T., Glaws, Andrew; Gu, Jianyu; Harrison-Atlas, Dylan; Lopez, Anthony; Bortolotti, Pietro, Glaws, Andrew; Harrison-Atlas, Dylan; King, Ryan; Lantz, Eric, Glaws, Andrew; Vijayakumar, Ganesh; King, Ryan; Doronina, Olga; Baeder, James; Lee, Bumseok; Marepally, Koushik; Grey, Zachary
ORCID: 0000-0002-7268-1883
Observed ORCID: 0000-0002-7268-1883
OpenAlex ID: A5085133267
Adversarial super-resolution of climatological wind and solar data
2020 · Karen Stengel, Andrew Glaws, et al. · Proceedings of the National Academy of Sciences · 308
High-resolution meteorology with climate change impacts from global climate model data using generative machine learning
2024 · Grant Buster, Brandon N. Benton, et al. · Nature Energy · 73
Artificial intelligence-aided wind plant optimization for nationwide evaluation of land use and economic benefits of wake steering
2024 · Dylan Harrison-Atlas, Andrew Glaws, et al. · Nature Energy · 63
Deep learning for in situ data compression of large turbulent flow simulations
2020 · Andrew Glaws, Ryan King, et al. · Physical Review Fluids · 60
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Invertible Neural Networks for Airfoil Design
2022 · Andrew Glaws, Ryan N. King, et al. · AIAA Journal · 42
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Unified architecture for data-driven metadata tagging of building automation systems
2020 · Sakshi Mishra, Andrew Glaws, et al. · Automation in Construction · 39
Deep generative models in energy system applications: Review, challenges, and future directions
2024 · Xiangyu Zhang, Andrew Glaws, et al. · Applied Energy · 37
Open data sets for assessing photovoltaic system reliability
2025 · Xin Chen, Baojie Li, et al. · Applied Energy · 30
Accelerated Stress Testing of Perovskite Photovoltaic Modules: Differentiating Degradation Modes with Electroluminescence Imaging
2023 · Jackson W. Schall, Andrew Glaws, et al. · Solar RRL · 24
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A Probabilistic Approach to Estimating Wind Farm Annual Energy Production with Bayesian Quadrature
2020 · Ryan King, Andrew Glaws, et al. · AIAA SciTech Forum · 24
Inverse regression for ridge recovery: a data-driven approach for parameter reduction in computer experiments
2019 · Andrew Glaws, Paul G. Constantine, et al. · Statistics and Computing · 23
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Adversarial sampling of unknown and high-dimensional conditional distributions
2021 · Malik Hassanaly, Andrew Glaws, et al. · Journal of Computational Physics · 22
Dimension reduction in magnetohydrodynamics power generation models: Dimensional analysis and active subspaces
2017 · Andrew Glaws, Paul G. Constantine, et al. · Statistical Analysis and Data Mining The ASA Data Science Journal · 18
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Python Active-subspaces Utility Library
2016 · Paul Constantine, Ryan Howard, et al. · The Journal of Open Source Software · 18
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Machine learning enables national assessment of wind plant controls with implications for land use
2021 · Dylan Harrison‐Atlas, Ryan N. King, et al. · Wind Energy · 17
Predictive Analytics in Future Power Systems: A Panorama and State-Of-The-Art of Deep Learning Applications
2020 · Sakshi Mishra, Andrew Glaws, et al. · Advances in intelligent systems and computing · 12
Mind the gap: Bridging the divide between AI aspirations and the reality of autonomous microscopy
2025 · Grace Guinan, Addison Salvador, et al. · APL Machine Learning · 10
Separable shape tensors for aerodynamic design
2023 · Zachary J Grey, Olga A Doronina, et al. · Journal of Computational Design and Engineering · 10
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Revealing the hidden third dimension of point defects in two-dimensional MXenes
2026 · Grace Guinan, Michelle A. Smeaton, et al. · Nature Communications · 9
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Super-Resolution for Renewable Energy Resource Data with Wind from Reanalysis Data and Application to Ukraine
2025 · Brandon N. Benton, Grant Buster, et al. · Energies · 9
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Physics-Driven Convolutional Autoencoder Approach for CFD Data Compressions
2022 · Olmo, Alberto, Zamzam, Ahmed, et al. · arXiv (Cornell University) · 7
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Gaussian Quadrature and Polynomial Approximation for One-Dimensional Ridge Functions
2019 · Andrew Glaws, Paul G. Constantine · SIAM Journal on Scientific Computing · 7
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Explainable artificial intelligence relates perovskite luminescence images to current-voltage metrics
2025 · Andrew Glaws, Jackson W. Schall, et al. · Energy and AI · 6
Designing Future Energy Systems With Generative AI
2025 · Andrew Glaws, Ryan N. King, et al. · Computing in Science & Engineering · 6
Aerodynamic Sensitivities over Separable Shape Tensors
2025 · Olga A. Doronina, Bumseok Lee, et al. · AIAA Journal · 6
Works count: 94
Citation count: 960
H-index: 15
I10-index: 18
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