FEBRUARY 15, 2024 Journal Article Machine learning methods for particle stress development in suspension Poiseuille flows ( Read More )
FEBRUARY 15, 2024 Journal Article Temporal Subsampling Diminishes Small Spatial Scales in Recurrent Neural Network Emulators of Geophysical Turbulence ( Read More )
FEBRUARY 15, 2024 Journal Article Axion Dark Matter eXperiment: Run 1A Analysis Details ( Read More )
FEBRUARY 15, 2024 Journal Article First measurement of the nuclear-recoil ionization yield in silicon at 100 eV ( Read More )
FEBRUARY 15, 2024 Conference Paper Autonomous Cyber Defense Against Dynamic Multi-strategy Infrastructural DDoS Attacks ( Read More )
FEBRUARY 15, 2024 Report A Multifidelity and Multimodal Machine Learning Approach for Extracting Bonding Environments of Impurities and Dopants from X-ray Spectroscopies ( Read More )
FEBRUARY 15, 2024 Journal Article Constraining chaos: Enforcing dynamical invariants in the training of reservoir computers ( Read More )
FEBRUARY 15, 2024 Conference Paper Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition ( Read More )
NOVEMBER 10, 2023 Journal Article Determining the bubble nucleation efficiency of low-energy nuclear recoils in superheated C3F8 dark matter detectors ( Read More )
NOVEMBER 8, 2023 Conference Paper Reinforcement Learning-based Output Structured Feedback for Distributed Multi-Area Power System Frequency Control ( Read More )
NOVEMBER 7, 2023 Journal Article First Constraints from DAMIC-M on Sub-GeV Dark-Matter Particles Interacting with Electrons ( Read More )
OCTOBER 24, 2023 Report Inverse Reinforcement Learning based Bayesian Goal Inference Method for Early Nuclear Proliferation Detection ( Read More )
OCTOBER 24, 2023 Report Increased Interpretability for Model-Driven Deception: MARS LDRD Project ( Read More )
OCTOBER 18, 2023 Journal Article 1-D coupled surface flow and transport equations revisited via the physics-informed neural network approach ( Read More )
OCTOBER 17, 2023 Journal Article Human-Centric Contingency Analysis Metrics for Evaluating Operator Performance and Trust ( Read More )
OCTOBER 13, 2023 Journal Article Disaster Risk and Artificial Intelligence: A Framework to Characterize Conceptual Synergies and Future Opportunities ( Read More )
OCTOBER 13, 2023 Conference Paper A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks ( Read More )
OCTOBER 13, 2023 Conference Paper Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems ( Read More )
OCTOBER 13, 2023 Conference Paper Auto-HPCnet: An Automatic Framework to Build Neural Network-based Surrogate for High-Performance Computing Applications ( Read More )