Michael Grosskopf

According to our database, Michael Grosskopf authored at least 14 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Expert-in-the-loop design of integral nuclear data experiments.

Isaac J. Michaud, Michael Grosskopf, Jesson Hutchinson, Scott A. Vander Wiel

Stat. Anal. Data Min., April, 2024

Driving mode analysis - How uncertain functional inputs propagate to an output.

Scott A. Vander Wiel, Michael J. Grosskopf, Isaac J. Michaud, Denise Neudecker

Stat. Anal. Data Min., February, 2024

2022

Temporal Characterization and Filtering of Sensor Data to Support Anomaly Detection.

Michael J. Grosskopf, Kary L. Myers, Earl Lawrence, Derek Bingham

Technometrics, 2022

Fast emulation of density functional theory simulations using approximate Gaussian processes.

Steven Stetzler, Michael Grosskopf, Earl Lawrence

CoRR, 2022

2021

Generalized Computer Model Calibration for Radiation Transport Simulation.

Michael Grosskopf, Derek Bingham, Marvin L. Adams, W. Daryl Hawkins, Delia Perez-Nunez

Technometrics, 2021

In-Situ Spatial Inference on Climate Simulations with Sparse Gaussian Processes.

Michael Grosskopf, Earl Lawrence, Ayan Biswas, Li Tang, Kelin Rumsey, Luke Van Roekel, Nathan M. Urban

Proceedings of the ISAV@SC 21: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2021

Fast Gaussian Process Estimation for Large-Scale In Situ Inference using Convolutional Neural Networks.

Divya Banesh, Nishant Panda, Ayan Biswas, Luke Van Roekel, Diane Oyen, Nathan M. Urban, Michael Grosskopf, Jonathan David Wolfe, Earl Lawrence

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Identifying Entangled Physics Relationships through Sparse Matrix Decomposition to Inform Plasma Fusion Design.

M. Giselle Fernández-Godino, Michael J. Grosskopf, Julia B. Nakhleh, Brandon M. Wilson, John Kline, Gowri Srinivasan

CoRR, 2020

Exploring Sensitivity of ICF Outputs to Design Parameters in Experiments Using Machine Learning.

Julia B. Nakhleh, M. Giselle Fernández-Godino, Michael J. Grosskopf, Brandon M. Wilson, John Kline, Gowri Srinivasan

CoRR, 2020

Extreme Protection Against Data Loss with Single-Overlap Declustered Parity.

Huan Ke, Haryadi S. Gunawi, David Bonnie, Nathan DeBardeleben, Michael Grosskopf, Terry Grové, Dominic Manno, Elisabeth Moore, Brad Settlemyer

Proceedings of the 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2020

2017

Emulation of Numerical Models With Over-Specified Basis Functions.

Avishek Chakraborty, Derek Bingham, Soma S. Dhavala, Carolyn C. Kuranz, R. Paul Drake, Michael J. Grosskopf, Erica M. Rutter, Ben R. Torralva, James Paul Holloway, Ryan G. McClarren, Bani K. Mallick

Technometrics, 2017

2013

Prediction and Computer Model Calibration Using Outputs From Multifidelity Simulators.

Joslin Goh, Derek Bingham, James Paul Holloway, Michael Grosskopf, Carolyn C. Kuranz, Erica Rutter

Technometrics, 2013

2011

A physics informed emulator for laser-driven radiating shock simulations.

Ryan G. McClarren, Duchwan Ryu, R. Paul Drake, Michael Grosskopf, Derek Bingham, Chuan-Chih Chou, Bruce Fryxell, Bart van der Holst, James Paul Holloway, Carolyn C. Kuranz, Bani K. Mallick, Erica Rutter, Ben R. Torralva

Reliab. Eng. Syst. Saf., 2011

Predictive modeling of a radiative shock system.

James Paul Holloway, Derek Bingham, Chuan-Chih Chou, Forrest Doss, R. Paul Drake, Bruce Fryxell, Michael Grosskopf, Bart van der Holst, Bani K. Mallick, Ryan G. McClarren, Ashin Mukherjee, Vijay N. Nair, Kenneth G. Powell, Duchwan Ryu, Igor V. Sokolov, Gábor Tóth, Zhanyang Zhang

Reliab. Eng. Syst. Saf., 2011