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Modeling of Characteristics of Complex Microstructure and Heterogeneity at the Core Scale
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Parameter Calculation of Steam Pipeline Based on Hybrid Modeling
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Triple Validation of Calibrated Building Energy Models with Different Air Infiltration Values
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Crystal structure generation with autoregressive large language modeling
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Dual prompt personalized federated learning in foundation models
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Efficient equivariant model for machine learning interatomic potentials
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Reply to Comment on “Improving Bayesian Model Averaging for Ensemble Flood Modeling Using Multiple Markov Chains Monte Carlo Sampling” by Jasper Vrugt
Published 2024-11-01“…Jasper Vrugt on the Metropolis‐Hastings (M‐H) algorithm with multiple independent Markov chains proposed by Huang and Merwade (2023a), https://doi.org/10.1029/2023wr034947 concerning the validity of the methodology in estimating Bayesian model averaging (BMA) parameters (weights and variances) of the framework proposed by Raftery et al. (2005), https://doi.org/10.1175/mwr2906.1. …”
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Atmospheric Transport Modeling of CO2 With Neural Networks
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