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Highlights

CluSim cluster similarity heatmap for each pair of files from the ROAD dataset (12 benign files, 13 masquerade attack files of five attack scenario types) depicted.
A New Framework for Detecting Advanced Cyberattacks in Cyber Physical Systems
Methodology for interpretability analysis
Methodology for Interpretable Reinforcement Learning Model for HVAC Energy Control
AURC-PR comparison
Time-Based CAN Intrusion Detection Benchmark
XSBench, VEXS, and Shift unit test simulations of a fresh scenario on a P100 GPU. CSMD ORNL Computer Science and Mathematics Division
Enhancing Monte Carlo proxy applications on GPUs
Runtime comparison of translated OpenMP 4.X+ with hand-coded OpenMP. CSMD Computer Science and Mathematics ORNL
CCAMP: OpenMP and OpenACC Interoperable Framework
Calculated magnetic phase diagram of the Shastry-Sutherland Ising model.
Quantum Computing Enables Simulations to Unravel Mysteries of Magnetic Materials
results from our tool to classify program data from mixed memory usage modes
Performance Potential of Mixed Data Management Modes for Heterogeneous Memory Systems
Example validations of key physics measurements compared to XGC-only reference simulation
Spatial Core-Edge Coupling of the Particle-in-Cell Gyrokinetic Codes GEM and XGC
Periodic time series
Robust learning with implicit networks
Image inpainting
Feature-driven exemplar-based nonlocal image inpainting
Conceptual comparison of (a) the standard multi-loop Monte Carlo method for propagating multiple probability models, and (b) the proposed multimodel Monte Carlo method with importance sampling reweighting
Monte Carlo Methods for UQ: A Survey
 A diagram of the workflow of our method.
A data-driven approach to study the thermodynamics of high entropy alloys
Probabilistic dependent input models
Uncertainty quantification with copula dependence modeling
CDF of imprecise first-order Sobol’ indices as a function of data set size from 100, 250, 500, 1000, 5000 to 10000.
IGSA: Imprecise global sensitivity analysis
Composite materials applications
Probabilistic modeling of composite materials with sparse data

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