Toggle navigation
Yinling's Homepage
Bio
Publications
Presentations
Mentoring
Resume
Publications
2025
Physics-Assisted Data-Driven Stochastic Reduced-Order Models for Attribution of Heterogeneous Stress Distributions in Low-Grain Polycrystals
Proceedings of the Royal Society A, 2025
Yinling Zhang
, Samuel D. Dunham, Curt A. Bronkhorst, Nan Chen*
Paper
Attribution of heterogeneous stress distributions in low-grain polycrystals under conditions leading to damage
International Journal of Plasticity, 2025
Samuel D. Dunham,
Yinling Zhang
, Nan Chen, Coleman Alleman, Curt A. Bronkhorst*
Paper
CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data Assimilation
Journal of Computational Physics, 2025
Chuanqi Chen, Nan Chen,
Yinling Zhang
, Jinlong Wu*
ArXiv
2024
A Stochastic Conceptual Model for the Coupled ENSO and MJO
Submitted, 2024
Charlotte Moser, Nan Chen*,
Yinling Zhang
ArXiv
A Physics-Informed Auto-Learning Framework for Developing Stochastic Conceptual Models for ENSO Diversity
Journal of Climate, 2024
Yinling Zhang
, Nan Chen*, Jerome Vialard, Xianghui Fang
ArXiv
Paper
2023
Data-Driven Statistical Reduced-Order Modeling and Quantification of Polycrystal Mechanics Leading to Porosity-Based Ductile Damage
Journal of the Mechanics and Physics of Solids, 2023
Yinling Zhang
, Nan Chen*, Curt A. Bronkhorst, Hansohl Choc, Robert Argus
ArXiv
Paper
Rigorous Derivation of Stochastic Conceptual Models for the El Niño-Southern Oscillation from a Spatially-Extended Dynamical System
Physica D: Nonlinear Phenomena, 2023
Nan Chen,
Yinling Zhang
*
ArXiv
Paper
A Causality-Based Learning Approach for Discovering the Underlying Dynamics of Complex Systems from Partial Observations with Stochastic Parameterization
Physica D: Nonlinear Phenomena, 2023
Nan Chen,
Yinling Zhang
*
ArXiv
Paper