Andrew Glaws

15 papers Journal 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Conditional Diffusion Model for Building Energy Modeling Workflows.
CoRR
Saumya Sinha, Alexandre Cortiella, Rawad El Kontar, Andrew Glaws, Ryan N. King, Patrick Emami
2025 J jnl
Designing Future Energy Systems With Generative AI.
Comput. Sci. Eng.
Andrew Glaws, Ryan N. King, Patrick Emami, Grant Buster, Brandon N. Benton, Xiangyu Zhang, Ahmed S. Zamzam, Venkatesh Venkataramanan, Richard Macwan
2025 J jnl
Mind the Gap: Bridging the Divide Between AI Aspirations and the Reality of Autonomous Characterization.
CoRR
Grace Guinan, Addison Salvador, Michelle A. Smeaton, Andrew Glaws, Hilary Egan, Brian C. Wyatt, Babak Anasori, Kevin R. Fiedler, Matthew J. Olszta, Steven R. Spurgeon
2025 J jnl
Revealing the Hidden Third Dimension of Point Defects in Two-Dimensional MXenes.
CoRR
Grace Guinan, Michelle A. Smeaton, Brian C. Wyatt, Steven Goldy, Hilary Egan, Andrew Glaws, Garritt J. Tucker, Babak Anasori, Steven R. Spurgeon
2024 J jnl
Explainable Binary Classification of Separable Shape Ensembles.
CoRR
Zachary J. Grey, Nicholas Fisher, Andrew Glaws, Gunay Dogan
2024 J jnl
Super Resolution for Renewable Energy Resource Data With Wind From Reanalysis Data (Sup3rWind) and Application to Ukraine.
CoRR
Brandon N. Benton, Grant Buster, Pavlo Pinchuk, Andrew Glaws, Ryan N. King, Galen Maclaurin, Ilya Chernyakhovskiy
2023 J jnl
G2Aero: A Python package for separable shape tensors.
J. Open Source Softw.
Olga A. Doronina, Zachary J. Grey, Andrew Glaws
2023 J jnl
Separable shape tensors for aerodynamic design.
J. Comput. Des. Eng.
Zachary J. Grey, Olga A. Doronina, Andrew Glaws
2022 J jnl
Adversarial sampling of unknown and high-dimensional conditional distributions.
J. Comput. Phys.
Malik Hassanaly, Andrew Glaws, Karen Stengel, Ryan N. King
2022 J jnl
Grassmannian Shape Representations for Aerodynamic Applications.
CoRR
Olga A. Doronina, Zachary J. Grey, Andrew Glaws
2022 J jnl
Separable Shape Tensors for Aerodynamic Design.
CoRR
Zachary J. Grey, Olga A. Doronina, Andrew Glaws
2021 J jnl
Adversarial sampling of unknown and high-dimensional conditional distributions.
CoRR
Malik Hassanaly, Andrew Glaws, Karen Stengel, Ryan N. King
2021 J jnl
GANISP: a GAN-assisted Importance SPlitting Probability Estimator.
CoRR
Malik Hassanaly, Andrew Glaws, Ryan N. King
2020 J jnl
Data-Driven Metadata Tagging for Building Automation Systems: A Unified Architecture.
CoRR
Sakshi Mishra, Andrew Glaws, Dylan Cutler, Stephen M. Frank, Muhammad Azam, Farzam Mohammadi, Jean-Simon Venne
2020 J jnl
Inverse regression for ridge recovery: a data-driven approach for parameter reduction in computer experiments.
Stat. Comput.
Andrew Glaws, Paul G. Constantine, R. Dennis Cook