Adaptive multi-fidelity Monte Carlo for real-time probabilistic storm surge predictions

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Advanced virtual modelling aided stochastic nonlinear dynamic stability analysis of the GPLR-FGP plate in thermal environments

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Advancing storm surge forecasting from scarce observation data: A causal-inference based Spatio-Temporal Graph Neural Network approach

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Bilevel optimization of non-uniform offshore wind farm layout and cable routing for the refined LCOE using an enhanced PSO

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Fluid-structure interaction analysis of wind turbine aerodynamic loads and aeroelastic responses considering blade and tower flexibility

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Numerical study of dynamic amplification factor and characteristic wind curves of high-speed train in tornado-like vortices

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Surge-NF: Neural Fields inspired peak storm surge surrogate modeling with multi-task learning and positional encoding

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TC-Diffusion: A diffusion-based probabilistic tropical cyclone model with application to typhoon wind hazard assessment

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TC-SINDy: Improving physics-based deterministic tropical cyclone track and intensity model via data-driven sparse identification of Nonlinear Dynamics

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Time series forecasting of pedestrian-level urban air temperature by LSTM: Guidance for practitioners

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A flexible proton beam imaging energy spectrometer (PROBIES) for high repetition rate or single-shot high energy density (HED) experiments

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Laminar flow over a rectangular cylinder experiencing torsional flutter: Dynamic response, forces and coherence modes

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Machine learning applications on air temperature prediction in the urban canopy layer: A critical review of 2011–2022

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RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias

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Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design

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Multi-fidelity Parallel Sequential Design Strategy under Classification Constraints for CFD-based Structure Shape Design

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A deep learning-accelerated data assimilation and forecasting workflow for commercial-scale geologic carbon storage

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Accelerating the rate of discovery: Toward high-repetition-rate HED science

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Leveraging Uncertainty from Deep Learning for Trustworthy Material Discovery Workflows

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MR-GAN: Manifold Regularized Generative Adversarial Networks for Scientific Data

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A Winning Hand: Compressing Deep Networks can Improve Out-Of-Distribution Robustness

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Inferring fracture aperture distribution at the EGS Collab Experiment 1 testbed through a deep learning accelerated Bayesian approach

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Adaptive design of experiments for global Kriging metamodeling through cross-validation information

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Evolutionary Multi-Objective Optimization under Uncertainty through Adaptive Kriging in Augmented Input Space

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Geospatial Environments for Hurricane Risk Assessment: Applications to Situational Awareness and Resilience Planning in New Jersey

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Surrogate modeling of hydrodynamic forces between multiple floating bodies through a hierarchical interaction decomposition

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A statistical mechanics framework for task-agnostic sample design in machine learning

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Applications of reduced order and surrogate modeling in structural dynamics

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Developments in storm surge estimation using surrogate modeling techniques

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Interpretation of tracer data using a Markov chain Monte Carlo approach for the characterization of the EGS Collab testbed

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Mix-n-match: Ensemble and compositional methods for uncertainty calibration in deep learning

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Accelerating MCMC via Kriging-based adaptive independent proposals and delayed rejection

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Bayesian model averaging for Kriging regression structure selection

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Multi-objective optimization for design under uncertainty problems through surrogate modeling in augmented input space

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Accelerated MCMC combining metamodel-based independent proposals and delayed rejection

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Multi-objective design under uncertainty using a Kriging-based evolutionary optimizer

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Adaptive Kriging Stochastic Sampling and Density Approximation and its Application to Rare-Event Estimation

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Advances in surrogate modeling for storm surge prediction: storm selection and addressing characteristics related to climate change

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Bayesian posterior sampling using a metamodel-based sequential approach

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Sequential approximate optimization for design under uncertainty problems utilizing Kriging metamodeling in augmented input space

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Duplicate report detection in urban crowdsensing applications for smart city

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