Author

Guan-Nan Zhang

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#protein folding Preprint Oct 2026

Automatic indexing of wide-band quasi-Laue neutron diffraction patterns of large unit cells

With a continuous spectrum of incident neutron wavelengths, quasi-Laue diffraction records many Bragg reflections from a stationary crystal, each satisfying the diffraction condition at a particular wavelength. Because the wavelength of each reflection is not measured, the crystal orientation must be determined from th...

Z. Morgan, Nathan Whittington, Iris Ye et al. · 0 citations

Preprint Sep 2026

Data-Assimilation-Assisted Reinforcement Learning for Power Grid Control under Load Uncertainty

Reliable power grid control requires sequential decisions under transmission constraints, time-varying demand, renewable variability, and imperfect load information. We investigate how load information quality affects control in a customized transmission network simulator inspired by Grid2Op and based on a DC power flo...

Ruo-Yu Hu, Feng Bao, Ze-Zhong Zhang et al. · 0 citations

Preprint Sep 2026

From Variational Optimization to Flow-Based Transport: Posterior-Geometry Regularization for Ill-Conditioned Data Assimilation

Variational data assimilation computes a Bayesian update through optimization on a fixed posterior geometry, whose conditioning is determined by the prior covariance and the observation operator. In strongly anisotropic, weakly observed, or highly informative regimes, this geometry can become severely ill conditioned,...

Si-Ming Liang, Feng Bao, Hristo G. Chipilski et al. · 0 citations

#machine learning Preprint Sep 2026

A Pre-trained Variational Autoencoder for Gyrokinetic Plasma Turbulence Surrogate Modeling

Machine learning surrogate models offer a promising path toward accelerating plasma turbulence simulations. We present PreVAE-Turb, a surrogate modeling framework that leverages pre-trained variational autoencoders (VAEs) from the Stable Diffusion image generation model for efficient spatial compression of turbulence f...

Ming-Lei Yang, Marshall Nicholson, D. del-Castillo-Negrete et al. · 0 citations

#generative ai Preprint Sep 2026

Score-Based Generative Data Assimilation for Integrating Aggregated Surveillance Data into Agent-Based Models in Epidemic Tracking

A generative AI-based data-assimilation framework for partially observed epidemic ABMs that estimates both the epidemic state and a heterogeneous parameter field while respecting the gap between observable macrostates and latent agent-level microstates is developed.

Si-Ming Liang, Jacob Hauck, Ming-Lei Yang et al. · 0 citations

#artificial intelligence Apr 2026

Global Attention with Linear Complexity for Exascale Generative Data Assimilation in Earth System Prediction

STORM is introduced, a one-stage generative AI framework that reformulates DA as diffusion-based Bayesian posterior sampling, replacing online PDE ensemble forecasts with scalable AI inference, enabling high-resolution, long-context Earth modeling and demonstrating improved accuracy.

Xiao Wang, Ze-Zhong Zhang, Isaac Lyngaas et al. · arXiv.org · 1 citation