Dan Maljovec

Publications

Uncertainty Visualization of 2D Morse Complex Ensembles Using Statistical Summary Maps
Tushar Athawale, Dan Maljovec, Lin Yan, Chris Johnson, Valerio Pascucci, Bei Wang
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020
Linking Classical PRA Models to a Dynamic PRA
Diego Mandelli, Congjian Wang, Carlo Parisi, Dan Maljovec, Andrea Alfonis, Zhegang Ma, and Curtis Smith
Annals of Nuclear Energy, 2020
SpotSDC: Revealing the Silent Data CorruptionPropagation in High-performance Computing Systems
Zhimin Li, Harshitha Menon, Dan Maljovec, Yarden Livnat, Shusen Liu, Kathryn Mohror, Peer-Timo Bremer, and Valerio Pascucci
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020
Reduced Order Model and PRA: A Multi-Unit Perspective
Diego Mandelli, Dan Maljovec, and Andrea Alfonsi
ANS Winter Meeting 2018
Integration of Fault-Trees and Event-Trees into Dynamic PRA
Diego Mandelli, Dan Maljovec, Andrea Alfonsi, Congjian Wang, Zhegang Ma, Carlo Parisi, and Curtis Smith
Proceedings of ANS Summer Meeting, Philadelphia 2018
Mining Data in a Dynamic PRA Framework
Diego Mandelli, Dan Maljovec, Andrea Alfonsi, Carlo Parisi, Paul Talbot, Joshua Cogliati, Curtis Smith, and Cristian Rabiti
Progress in Nuclear Energy, Volume 108, Pages 99-110, 2018
Analysis of Time Dependent Data and PRA
Diego Mandelli, Dan Maljovec, Andrea Alfonsi, Claudia Picoco, Curtis Smith, and Cristian Rabiti
ANS Winter Meeting 2017
High-Dimensionality Reduction for Multi-physics Application Under the RAVEN Framework
Congjian Wang, Paul Talbot, Cristian Rabiti, Andrea Alfonsi, Diego Mandelli, Joshua Cogliati, Dan Maljovec, and Robert Kinoshita
ANS Winter Meeting 2017
An Overview of Methods to Analyze Dynamic PRA Data
Diego Mandelli, Dan Maljovec, Carlo Parisi, Andrea Alfonsi, Curtis Smith, Cristian Rabiti
ESREL Conference 2017
Dynamic PRA of a Multi-Unit Plant
Diego Mandelli, Carlo Parisi, Andrea Alfonsi, Dan Maljovec, Shawn St. Germain, Ronald Boring, Sarah Ewing, Curtis Smith, Cristian Rabiti
International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA), 2017
An Overview of Reduced Order Modeling Techniques for Safety Applications
Diego Mandelli, Andrea Alfonsi, Paul Talbot, Congjian Wang, Dan Maljovec, Curtis Smith, Cristian Rabiti, and Joshua Cogliati
13th International Conference on Probabilistic Safety Assessment and Management (PSAM), 2016
Rethinking Sensitivity Analysis of Nuclear Simulations with Topology
Dan Maljovec, Bei Wang, Paul Rosen, Andrea Alfonsi, Giovanni Pastore, Cristian Rabiti, and Valerio Pascucci
Proceedings of IEEE Pacific Visualization (PacificVis), 2016
Visualizing High-Dimensional Data: Advances in the Past Decade
Shusen Liu, Dan Maljovec, Bei Wang, Peer-Timo Bremer, and Valerio Pascucci
Eurographics Conference on Visualization (EuroVis), STAR - State of the Art Report, 2015
Extended Journal version: IEEE Transactions on Visualization and Computer Graphics (TVCG), 2017.
ND2AV: N-Dimensional Data Analysis and Visualization - Analysis for the National Ignition Campaign
Peer-Timo Bremer, Dan Maljovec, Avishek Saha, Bei Wang, Jim Gaffney, Brian Spears, and Valerio Pascucci
Computing and Visualization in Science, 17(1), Pages 1-18, 2015
Analyzing Simulation-Based PRA Data Through Clustering: a BWR Station Blackout Case Study
Dan Maljovec, Shusen Liu, Bei Wang, Valerio Pascucci, Peer-Timo Bremer, Diego Mandelli and Curtis Smith
Probabilistic Safety Assessment & Management conference (PSAM), 2014
Extended Journal version: Reliability Engineering & System Safety (RESS), 2015
Topology-Based Active Learning
Dan Maljovec, Bei Wang, John Moeller, and Valerio Pascucci
SCI Technical Report UUSCI-2014-00, 2014
Overview of New Tools to Perform Safety Analysis: BWR Station Black Out Test Case
Diego Mandelli, Curtis Smith, Thomas Riley, Joe Nielsen, John Schroeder, Cristian Rabiti, Andrea Alfonsi, Joshua Cogliati, Robert Kinoshita, Valerio Pascucci, Bei Wang, Dan Maljovec
Probabilistic Safety Assessment & Management conference (PSAM), 2014
Analyzing Dynamic Probabilistic Risk Assessment Data through Clustering
Dan Maljovec, Bei Wang, Diego Mandelli, Peer-Timo Bremer, and Valerio Pascucci
International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA), 2013
Adaptive Sampling Algorithms for Probabilistic Risk Assessment of Nuclear Simulations
*First Runner-up for Best Student Paper Award
Dan Maljovec, Bei Wang, Diego Mandelli, Peer-Timo Bremer, and Valerio Pascucci
International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA), 2013
Exploration of High-Dimensional Scalar Function for Nuclear Reactor Safety Analysis and Visualization
Dan Maljovec, Bei Wang, Valerio Pascucci, Peer-Timo Bremer, Michael Pernice, Diego Mandelli, and Robert Nourgaliev,
in Proceeding of M&C2013 International Topical Meeting on Mathematics and Computation, CD-ROM, American Nuclear Society, LaGrange Park, IL, 2013
Adaptive Sampling with Topological Scores
Dan Maljovec, Bei Wang, Ana Kupresanin, Gardar Johannesson, Valerio Pascucci, and Peer-Timo Bremer
Working with Uncertainty Workshop at IEEE VisWeek, 2011. International Journal for Uncertainty Quantification, 3(2), pages 119-141, 2013